Patents Issued in February 20, 2024
  • Patent number: 11908129
    Abstract: Impairment analysis systems and related methods are disclosed. According to an aspect, an impairment analysis system includes a light source configured for directing light towards a subject. Further, the system includes a distance sensor configured for determining a location of the subject. The system also includes an image capture device configured for capturing one or more images of the subject. Further, the system includes a computing device configured to control the light source to emit light in a predetermined pattern to apply light stimulus to the subject. The computing device is also configured to receive, from the distance sensor, information regarding the determined location of the subject. Further, the computing device is configured to receive, from the image capture device, the captured one or more images of the subject including one of a facial movement and position of the subject while the light stimulus is applied to the subject.
    Type: Grant
    Filed: December 23, 2020
    Date of Patent: February 20, 2024
    Assignee: iAlyze, LLC
    Inventors: Willem Prins, Alexander Adam Papp, Matthew E. Czajkowski
  • Patent number: 11908130
    Abstract: Digital pathology is a promising alternative to manual slide analysis, but improvements in imaging and analysis methods are needed to provide an analysis data set of images that can easily be handled, stored, and importantly, delivered from one data location to another. Methods and software are described herein to improve image collection and analysis.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: February 20, 2024
    Assignee: Protein Metrics LLC
    Inventors: Michael J. Natan, Marshall Bern, Eric Carlson
  • Patent number: 11908131
    Abstract: Systems and methods for mapping brain perivascular spaces. A system may include a memory to store one or more images of a brain of a patient. The system may further include a processor coupled to the memory. The processor may be configured to obtain a first and a second image of the brain. The processor may be further configured to combine the first image and the second image to preserve and magnify structures including the brain perivascular spaces within the image of the brain. The processor may be further configured to determine the brain perivascular spaces within the combined image of the brain of the patient. The processor may be further configured to generate a three-dimensional (3-D) map of the perivascular spaces. The system may further include a display configured to display the perivascular spaces to an operator.
    Type: Grant
    Filed: February 16, 2021
    Date of Patent: February 20, 2024
    Assignee: UNIVERSITY OF SOUTHERN CALIFORNIA
    Inventors: Farshid Sepehrband, Jeiran Choupan
  • Patent number: 11908132
    Abstract: Systems and methods are disclosed for predicting one or more medical conditions utilizing digital images and employing artificial intelligent algorithms. The system offers accurate predictions utilizing quantized pre-trained deep learning model. The pre-trained deep learning model is trained on data samples and later refined as the system processes more digital images or new medical conditions are incorporated. One pre-trained deep learning model is used to predict the probability of one or more medical conditions and identify locations in the digital image effected by the one or more medical conditions. Further, one pre-trained deep learning model utilizing additional data and plurality of digital images, forecasts rate of infection and spread of the medical condition over time.
    Type: Grant
    Filed: April 23, 2021
    Date of Patent: February 20, 2024
    Assignee: Blaize, Inc.
    Inventors: Deepak Chandra Bijalwan, Dinakar C. Munagala
  • Patent number: 11908133
    Abstract: A cell image segmentation method using scribble labels includes iteratively pre-training via an image segmentation network (U-Net) using a cell image and scribble labels indicating a cell region and a background region as training data, calculating an exponential moving average (EMA) of image segmentation prediction probabilities at a predetermined interval during the pre-training, self-training by assigning the cell region and the background region for which the EMA of image segmentation prediction probabilities is over a preset threshold to be a pseudo-label, and iteratively refining the image segmentation prediction probability based on a scribbled loss (Lsp) obtained through a result of the training and an unscribbled loss (Lup). Accordingly, it is possible to achieve cell image segmentation with high reliability using only scribble labels.
    Type: Grant
    Filed: September 17, 2021
    Date of Patent: February 20, 2024
    Assignee: Korea University Research and Business Foundation
    Inventors: Won-Ki Jeong, Hyunsoo Lee
  • Patent number: 11908134
    Abstract: A method for adaptive treatment planning is provided. The method may include obtaining a planning image volume of a subject, a treatment image volume of the subject, and a first treatment plan related to the planning image volume of the subject, each of the planning image volume and the treatment image volume including an ROI of the subject. The method may also include registering the planning image volume and the treatment image volume, and determining a first contour of the ROI in the registered planning image volume and a second contour of the ROI in the registered treatment image volume. The method may also include evaluating whether an error exists in at least one of the registration or the contour determination based on the first contour and the second contour, and determining a second treatment plan with respect to the treatment image volume based on the evaluation result.
    Type: Grant
    Filed: June 6, 2022
    Date of Patent: February 20, 2024
    Assignee: SHANGHAI UNITED IMAGING HEALTHCARE CO., LTD.
    Inventors: Supratik Bose, Jonathan Maltz, Johannes Stahl
  • Patent number: 11908135
    Abstract: An artificial intelligence system for analyzing imagery, the system comprising a computing device, the computing device designed and configured to receive a plurality of photographs related to a human subject; analyze the plurality of photographs to identify a conditional indicator contained within the plurality of photographs; generate a classification algorithm utilizing the conditional indicator, wherein the classification algorithm utilizes the conditional indicator as an input and outputs a conditional profile; and determine a conditional status of the human subject utilizing the conditional profile.
    Type: Grant
    Filed: August 10, 2022
    Date of Patent: February 20, 2024
    Inventor: Kenneth Neumann
  • Patent number: 11908136
    Abstract: A respiratory status classifying method is for classifying as one of at least two respiratory statuses and includes an original physiological parameter inputting step, an original chest image inputting step, a characteristic physiological parameter generating step, a characteristic chest image generating step, a training step and a classifier generating step. The characteristic chest image generating step includes processing at least a part of the original chest images, segmenting images of a left lung, a right lung and a heart from each of the original chest images that are processed, and enhancing image data of the images being segmented, so as to generate a plurality of characteristic chest images. The training step includes training two respiratory status classifiers using a plurality of characteristic physiological parameters and the characteristic chest images by at least one machine learning algorithm.
    Type: Grant
    Filed: September 27, 2022
    Date of Patent: February 20, 2024
    Assignees: TAICHUNG VETERANS GENERAL HOSPITAL, TUNGHAI UNIVERSITY
    Inventors: Ming-Cheng Chan, Kai-Chih Pai, Wen-Cheng Chao, Yu-Jen Huang, Chieh-Liang Wu, Min-Shian Wang, Chien-Lun Liao, Ta-Chun Hung, Yan-Nan Lin, Hui-Chiao Yang, Ruey-Kai Sheu, Lun-Chi Chen
  • Patent number: 11908137
    Abstract: The present disclosure provides a method, device and equipment for identifying and detecting a macular region in a fundus image. The method includes the following steps: reading a current fundus image to be positioned and detected; detecting a macular region in the fundus image using a target detection model; when the macular region in the fundus image is not detected, detecting an optic disk region in the fundus image, and identifying and positioning the macular region based on the detected optic disk region; based on a positioning result of the macular region, extracting a macular image corresponding to the macular region from the fundus image; and performing multi-modal processing on the macular image, fusing images obtained by the multi-modal processing to obtain a fused image, and detecting whether the macular region is qualified or not according to the fused image.
    Type: Grant
    Filed: August 17, 2021
    Date of Patent: February 20, 2024
    Assignee: BEIJING ZHENHEALTH TECHNOLOGY CO., LTD.
    Inventor: Dongdong Zhang
  • Patent number: 11908138
    Abstract: A method of facilitating processing of pathology images involves receiving pathology image data representing a pathology image having a plurality of image regions, wherein the pathology image data includes, for each of the plurality of image regions, a respective plurality of representations of the image region including a first representation and a second representation, the second representation having a smaller data size than the first representation. The method involves, for each of the plurality of image regions: determining, based at least in part on the first representation of the image region, a first set of image properties, determining whether the first set of image properties meets first image property criteria, and, if the first set of image properties meets the first image property criteria, producing signals for causing the second representation to be used in place of the first representation. Other methods, systems, and computer-readable media are disclosed.
    Type: Grant
    Filed: June 27, 2023
    Date of Patent: February 20, 2024
    Assignee: AIFORIA TECHNOLOGIES OYJ
    Inventor: Juha Reunanen
  • Patent number: 11908139
    Abstract: In some aspects, the described systems and methods provide for a method for training a statistical model to predict tissue characteristics for a pathology image. The method includes accessing annotated pathology images. Each of the images includes an annotation describing a tissue characteristic category for a portion of the image. A set of training patches and a corresponding set of annotations are defined using an annotated pathology image. Each of the training patches in the set includes values obtained from a respective subset of pixels in the annotated pathology image and is associated with a corresponding patch annotation determined based on an annotation associated with the respective subset of pixels. The statistical model is trained based on the set of training patches and the corresponding set of patch annotations. The trained statistical model is stored on at least one storage device.
    Type: Grant
    Filed: July 13, 2023
    Date of Patent: February 20, 2024
    Assignee: PathAI, Inc.
    Inventors: Andrew H. Beck, Aditya Khosla
  • Patent number: 11908140
    Abstract: Disclosed is a method and system for identifying a protein domain based on a protein three-dimensional structure image. According to the present application, the protein domain is identified based on a structure similarity, the identification errors and omissions of the protein domain caused by protein multi-sequence alignment errors when sequence consistency is not high can be effectively solved. According to the present application, the point cloud segmentation model based on the dynamic graph convolutional neural network is constructed, and by integrating global structural features and local structural features, segmentation of the protein domain and acquisition of semantic labels of the protein domain can be completed at the same time.
    Type: Grant
    Filed: August 2, 2023
    Date of Patent: February 20, 2024
    Assignee: ZHEJIANG LAB
    Inventors: Jingsong Li, Jing Ma, Yu Wang
  • Patent number: 11908142
    Abstract: A method for the computing and memory resource-conserving semantic segmentation of image data of an imaging sensor with the aid of an artificial neural network, in particular, a convolutional neural network, the artificial neural network including an encoder path and a decoder path. The method includes: dividing an input tensor into at least one first slice tensor and at least one second slice tensor as a function of a division function, the input tensor being dependent on the image data; outputting the at least one first slice tensor to the decoder path of the neural network; connecting the at least one first slice tensor to the at least one second slice tensor as a function of a connecting function to obtain an output tensor; and outputting the output tensor to the encoder path of the artificial neural network.
    Type: Grant
    Filed: September 26, 2019
    Date of Patent: February 20, 2024
    Assignee: ROBERT BOSCH GMBH
    Inventors: Ferran Diego Andilla, Dimitrios Bariamis, Masato Takami, Uwe Brosch
  • Patent number: 11908143
    Abstract: Methods and systems are provided for establishing an activity zone within video captured by a camera. A user device may establish an activity zone or an exclusion zone within video representing a physical view captured by the camera. An automatic monitoring system may analyze the video of the camera with respect to the activity zone or exclusion zone and trigger notifications that are associated with a zone so as to limit notifications transmitted to the user device to those notifications that are relevant to the user. With activity or exclusion zones video from a camera may be automatically monitored to reduce a volume of notifications transmitted to the user device.
    Type: Grant
    Filed: March 11, 2021
    Date of Patent: February 20, 2024
    Assignee: APPLE INC.
    Inventors: Sara Bolouki, Yah Yah Cason, Jonghoon Jin, Nils Ängquist, Hendrik Dahlkamp, Patrick L Coffman
  • Patent number: 11908144
    Abstract: A plurality of motion vectors are acquired from consecutive images. From the acquired plurality of motion vectors, a motion vector of interest and neighboring motion vectors neighboring the motion vector of interest are selected and a degree of similarity between two motion vectors is acquired. A value related to the total number of neighboring motion vectors having high degrees of similarity to the motion vector of interest is acquired as a degree of reliability.
    Type: Grant
    Filed: November 4, 2021
    Date of Patent: February 20, 2024
    Assignee: CANON KABUSHIKI KAISHA
    Inventor: Masaaki Kobayashi
  • Patent number: 11908145
    Abstract: A method for assessing whether one or more trackers are positioned on a person according to a predetermined configuration of tracker positions, comprising: transmitting, from a computing device to at least one tracker of the one or more trackers, an instruction to change an operation of the light emitter of the tracker to which the instruction is transmitted; taking one or more images by the optical sensing device; digitally processing the one or more images to digitally determine both first positions of a plurality of joints of the person on each image, and second positions of the one or more trackers positioned on the person on each image based on both a light of the light emitter of each of the one or more trackers and the transmitted instructions; digitally determining on which body member each of the one or more trackers is positioned on the person based on the first and second positions; and digitally comparing the position of each of the one or more trackers on the body members with the predetermined c
    Type: Grant
    Filed: March 29, 2023
    Date of Patent: February 20, 2024
    Assignee: SWORD HEALTH, S.A.
    Inventors: José Carlos Coelho Alves, Márcio Filipe Moutinho Colunas, Pedro Henrique Oliveira Santos, Virgílio António Ferro Bento
  • Patent number: 11908146
    Abstract: A surgical visualization system that can include a structured light emitter, a spectral light emitter, an image sensor, and a control circuit is disclosed herein. The structured light emitter can emit a structured pattern of electromagnetic radiation onto an anatomical structure. The spectral light emitter can emit electromagnetic radiation including a plurality of wavelengths. At least one of the wavelengths can penetrate a portion of the anatomical structure and reflect off a subject tissue. The image sensor can detect the structured pattern of electromagnetic radiation reflected off the anatomical structure and the at least one wavelength reflected off the subject tissue. The control circuit can receive signals from the image sensor, construct a model of the anatomical structure, detect a location of the subject tissue, and determine a margin about the subject tissue, based on at least one signal received from the image sensor.
    Type: Grant
    Filed: March 29, 2021
    Date of Patent: February 20, 2024
    Assignee: Cilag GmbH International
    Inventors: Frederick E. Shelton, IV, Jason L. Harris, Kevin M. Fiebig, Daniel J. Mumaw
  • Patent number: 11908147
    Abstract: A device for calibrating and monitoring the position displacement of a camera relative to a support. A device for calibrating and monitoring a laser wavelength shift and the laser position displacement relative to a support. A method for calibrating and monitoring the position displacement of a camera relative to a support. A method for calibrating and monitoring the laser wavelength shift and the laser position displacement relative to a support.
    Type: Grant
    Filed: October 14, 2022
    Date of Patent: February 20, 2024
    Assignee: LUMINCODE AS
    Inventor: Gudmund Slettemoen
  • Patent number: 11908148
    Abstract: An electronic device includes at least one processor or circuit configured to function as a setting unit, an acquisition unit and a processing unit. The setting unit sets an object region in an image acquired from an imaging unit. The acquisition unit acquires a distance map including distance information corresponding to a pixel included in the object region. The processing unit determines object distance information indicating a distance to an object included in the object region, based on the distance information corresponding to the pixel included in the object region.
    Type: Grant
    Filed: March 21, 2022
    Date of Patent: February 20, 2024
    Assignee: CANON KABUSHIKI KAISHA
    Inventors: Kazuya Nobayashi, Shin Tanaka, Makoto Oigawa, Shigeo Kodama, Tomoyuki Kawamoto
  • Patent number: 11908149
    Abstract: Provided is a system configured to obtain a set of images via a camera of the computing device, input the set of images into a neural network, and detect a target physical object with the neural network. The system may determine a contour of the target physical object and a first three-dimensional reconstruction of the target physical object. The system may generate a virtual representation and a virtual object based on attributes of the virtual representation, where a first attribute of the set of attributes includes the first three-dimensional reconstruction. The system may associate the virtual object with the virtual representation and displays the virtual object at pixel coordinates of a display that at least partially occlude at least part of the target physical object, where a position of the virtual object is computed based on the contour.
    Type: Grant
    Filed: October 12, 2020
    Date of Patent: February 20, 2024
    Inventor: Andrew Thomas Busey
  • Patent number: 11908150
    Abstract: Systems and methods are provided for three-dimensional scanning and measurement by a device having a processor. The processor is configured to receive images of an object from at least two angles; preprocess the images using morphological refinement; create a source point cloud based on the images; remove outliers from the source point cloud; globally register the source point cloud to generate a transformed source point cloud; compare the transformed source point cloud with a target point cloud to generate a stitched point cloud that thereby creates a stitched 3D model; measure the resulting stitched 3D model; and provide the resulting stitched 3D model for comparison to a digitized item to assess sizing of the 3D model to the item.
    Type: Grant
    Filed: March 21, 2023
    Date of Patent: February 20, 2024
    Assignee: Xesto Inc.
    Inventors: Mehmet Afiny Affan Akdemir, Christian Garcia Salguero, Victoria Sophie Howe
  • Patent number: 11908151
    Abstract: Systems and methods are provided for three-dimensional scanning and measurement by a device having a processor. The processor is configured to receive images of an object from at least. two angles; preprocess the images using morphological refinement; create a source point cloud based on the images; remove outliers from the source point cloud; globally register the source point cloud to generate a transformed source point cloud; compare the transformed source point cloud with a target point cloud to generate a stitched point cloud that thereby creates a stitched 3D model; measure the resulting stitched 3D model; and provide the resulting stitched 3D model for comparison to a digitized item to assess sizing of the 3D model to the item.
    Type: Grant
    Filed: March 22, 2023
    Date of Patent: February 20, 2024
    Assignee: Xesto Inc.
    Inventors: Mehmet Afiny Affan Akdemir, Christian Garcia Salguero, Victoria Sophie Howe
  • Patent number: 11908152
    Abstract: The present invention belongs to the field of image processing and computer vision, and discloses an acceleration method of depth estimation for multiband stereo cameras. In the process of depth estimation, during binocular stereo matching in each band, through compression of matched images, on one hand, disparity equipotential errors caused by binocular image correction can be offset to make the matching more accurate, and on the other hand, calculation overhead is reduced. In addition, before cost aggregation, cost diagrams are transversely compressed and sparsely matched, thereby reducing the calculation overhead again. Disparity diagrams obtained under different modes are fused to obtain all-weather, more complete and more accurate depth information.
    Type: Grant
    Filed: March 5, 2020
    Date of Patent: February 20, 2024
    Assignees: DALIAN UNIVERSITY OF TECHNOLOGY, PENG CHENG LABORATORY
    Inventors: Wei Zhong, Hong Zhang, Haojie Li, Zhihui Wang, Risheng Liu, Xin Fan, Zhongxuan Luo, Shengquan Li
  • Patent number: 11908153
    Abstract: A system and method for measuring distances related to a target object depicted in an image. A captured digital image is obtained containing a scene with a target object whose dimension is to be measured. The digital image may contain a target object dimension identified by one or more ancillary objects and a reference object in the same or different planes. Image processing is performed to find the reference object using known fiducial patterns printed on the reference object, metadata supplied by a user and/or by the detection of colored papers in the scene of the captured image. Once located and measured, the reference object is used to calculate a pixel scale factor used to measure the target object dimensions. Target object dimensions are provided to an automated or semi-automated measurement process, design and manufacturing system such that customized parts for a supplemental fenestration are provided to end users.
    Type: Grant
    Filed: April 23, 2021
    Date of Patent: February 20, 2024
    Assignee: WEXENERGY INNOVATIONS LLC
    Inventors: John Patrick Spence, Ronald Myron Wexler
  • Patent number: 11908154
    Abstract: A device for identifying a size doubling number of a lesion, having: a planar surface defining a data portion that includes data zones, including: a first zone that defines first zone arcs distributed in a concentric configuration, the first zone arcs defining first mutually unique radii, ranging from a first minimum radius to a first maximum radius; the first zone includes first zone size markers, respectively positioned adjacent ones of the first zone arcs, and the first zone size markers respectively identify the size doubling number of the clinical lesion having a size that corresponds to a respective one of the first zone arcs, the size doubling number being one or more of a volume doubling number, an area doubling number and a radius doubling number.
    Type: Grant
    Filed: February 4, 2021
    Date of Patent: February 20, 2024
    Assignee: FIBONACCI PHYLLOTAXIS INC.
    Inventors: Colin Paul Spears, Stephanie Brower
  • Patent number: 11908155
    Abstract: Certain aspects of the present disclosure provide a method, including: processing input data with a feature extraction stage of a machine learning model to generate a feature map; applying an attention map to the feature map to generate an augmented feature map; processing the augmented feature map with a refinement stage of the machine learning model to generate a refined feature map; processing the refined feature map with a first regression stage of the machine learning model to generate multi-dimensional task output data; and processing the refined feature data with an attention stage of the machine learning model to generate an updated attention map.
    Type: Grant
    Filed: March 16, 2021
    Date of Patent: February 20, 2024
    Assignee: QUALCOMM Incorporated
    Inventors: John Yang, Yash Sanjay Bhalgat, Fatih Murat Porikli, Simyung Chang
  • Patent number: 11908156
    Abstract: Described herein is a detector for determining a position of at least one object. The detector includes at least one sensor element having a matrix of optical sensors, the optical sensors each having a light-sensitive area, wherein the sensor element is configured to determine a reflection image of the object. The detector also includes an evaluation device configured to select a reflection feature of the reflection image, and determine a distance estimate of the selected reflection feature of the reflection image by optimizing at least one blurring function fa, wherein the distance estimate is given by a longitudinal coordinate z and an error interval ±?. The evaluation device is adapted to determine at least one displacement region in at least one reference image corresponding to the distance estimate, and to match the selected reflection feature with at least one reference feature within the displacement region.
    Type: Grant
    Filed: January 8, 2020
    Date of Patent: February 20, 2024
    Assignee: TRINAMIX GMBH
    Inventors: Michael Eberspach, Christian Lennartz, Robert Send, Patrick Schindler, Peter Schillen, Ingmar Bruder
  • Patent number: 11908157
    Abstract: An image processing device is provided with: a movement detection unit—for detecting, from time-series images, a first feature relating to the first movement of a head portion of a person and a second feature relating to the second movement of a body portion, which is a part of the person other than the head portion; and an index value calculation unit for calculating an index value which indicates the degree of consistency between the first feature relating to the first movement of the head portion of the person and the second feature relating to the second movement of the body portion of the person.
    Type: Grant
    Filed: March 9, 2020
    Date of Patent: February 20, 2024
    Assignee: NEC CORPORATION
    Inventor: Kazuyuki Sakurai
  • Patent number: 11908158
    Abstract: A transparent display system, a control method and a control device thereof are provided. The transparent display system includes an information capturing assembly, a transparent display and a control device. The information capturing assembly is used to obtain at least one detection content. The control device includes a detection unit, a resource allocation unit and a recognition unit. The detection unit is used for detecting at least one user in front of a transparent display and at least one target object behind the transparent display according to the detection content. The resource allocation unit is used to obtain a resource allocation according to a detection result of the detection content. The information capturing assembly obtains at least one recognition content. The recognition unit obtains at least one front side position of the user and at least one back side position of the target object according to the resource allocation.
    Type: Grant
    Filed: November 19, 2021
    Date of Patent: February 20, 2024
    Assignee: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
    Inventors: Tzu-Yi Yu, Hong-Ming Dai, Chun-Yen Huang, Yu-Hsuan Su, Hung-Pin Shih, Ya-Rou Hsu, Yu-Hsiang Tsai
  • Patent number: 11908159
    Abstract: Systems and methods are provided for the generation of augmented reality (AR) content that provides a shared AR experience involving multiple users. Shared AR experiences can improve the communication and collaboration between multiple simultaneous users. According to an embodiment, AR content is generated for a first user in a shared AR experience. The AR content includes at least one of a render of a model, a virtual representation of a second user in the shared AR experience, a virtual representation of a user interaction in the shared AR experience, and spatial audio content. Modifications to a shared AR experience are also provided. These modifications may be initiated based on instructions from one user and be reflected in the AR content generated for multiple users.
    Type: Grant
    Filed: July 27, 2020
    Date of Patent: February 20, 2024
    Assignee: SHOPIFY INC.
    Inventors: Juho Mikko Haapoja, Byron Leonel Delgado, Stephan Leroux, Daniel Beauchamp
  • Patent number: 11908160
    Abstract: A method of detecting an object in an image using a convolutional neural network (CNN) includes generating, based on the image, a plurality of reference feature maps and a corresponding feature pyramid including a plurality of final feature maps; obtaining a proposed region of interest (ROI); generating at least a first context ROI having an area larger than an area of the proposed ROI; assigning the proposed ROI and the first context ROI to a first and second final feature maps having different sizes; extracting, by performing ROI pooling, a first set of features from the first final feature map using the proposed ROI and a second set of features from the second final feature map using the first context ROI; and determining, based on the first and second sets of extracted features, at least one of a location of the object and a class of the object.
    Type: Grant
    Filed: October 12, 2018
    Date of Patent: February 20, 2024
    Assignee: NOKIA TECHNOLOGIES OY
    Inventor: Jing Nie
  • Patent number: 11908161
    Abstract: An electronic device and a method for generating an augmented reality (AR) content in an electronic device are provided. The method includes determining a posture and an action of each object of the plurality of the objects in the scene displayed on a field of view of the electronic device, classifying the posture and the action of each object of the plurality of the objects in the scene, identifying an intent and an interaction of each object from the plurality of objects in the scene based on at least one of the classified posture and the classified action, and generating the AR content for the at least one object in the scene of at least one of the identified intent and the identified interaction of the at least one object.
    Type: Grant
    Filed: December 7, 2021
    Date of Patent: February 20, 2024
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Ramasamy Kannan, Lokesh Rayasandra Boregowda
  • Patent number: 11908162
    Abstract: A handheld three-dimensional (3D) measuring system operates in a target mode and a geometry mode. In the target mode, a target-mode projector projects a first line of light onto an object, and a first illuminator sends light to markers on or near the object. A first camera captures an image of the first line of light and the illuminated markers. In the geometry mode, a geometry-mode projector projects onto the object a first multiplicity of lines, which are captured by the first camera and a second camera. One or more processors determines 3D coordinates in the target mode and the geometry mode.
    Type: Grant
    Filed: December 20, 2021
    Date of Patent: February 20, 2024
    Assignee: FARO Technologies, Inc.
    Inventors: Francesco Bonarrigo, Paul C. Atwell, John Lucas Creachbaum, Nitesh Dhasmana, Fabiano Kovalski, Andrea Riccardi, William E. Schoenfeldt, Marco Torsello, Christopher Michael Wilson
  • Patent number: 11908163
    Abstract: Techniques for performing multi-sensor calibration on a vehicle are described. A method includes obtaining, from each of at least two sensors located on a vehicle, sensor data item of a road comprising a lane marker, extracting, from each sensor data item, a location information of the lane marker, and calculating extrinsic parameters of the at least two sensors based on determining a difference between the location information of the lane marker from each sensor data item and a previously stored location information of the lane marker.
    Type: Grant
    Filed: July 23, 2020
    Date of Patent: February 20, 2024
    Assignee: TUSIMPLE, INC.
    Inventors: Chenzhe Qian, Ji Zhao, Zhibei Ma
  • Patent number: 11908164
    Abstract: Provided are systems and methods for auto calibrating a vehicle using a calibration target that is generated from the vehicle's sensor data. In one example, the method may include receiving sensor data associated with a road captured by one or more sensors of a vehicle, identifying lane line data points within the sensor data, generating a representation which includes positions of a plurality of lane lines of the road based on the identified lane line data points, and adjusting a calibration parameter of a sensor from among the one or more sensors of the vehicle based on the representation of the plurality of lane lines.
    Type: Grant
    Filed: July 23, 2021
    Date of Patent: February 20, 2024
    Assignee: EMBARK TRUCKS INC.
    Inventor: Phillip Haeusler
  • Patent number: 11908165
    Abstract: In one embodiment, a method includes capturing, by a camera of an image capturing module, a first image of a target. The image capturing module and a drum are attached to a fixture and the target is attached to the drum. The method also includes determining a number of lateral pixels in a lateral pitch distance of the image of the target, determining a lateral object pixel size based on the number of lateral pixels, and determining a drum encoder rate based on the lateral object pixel size. The drum encoder rate is programmed into a drum encoder. The method further includes capturing, by the camera, a second image of the target while the target is rotated about an axis of the drum, determining a number of longitudinal pixels in a longitudinal pitch distance of the second image, and comparing the number of lateral pixels to the number of longitudinal pixels.
    Type: Grant
    Filed: November 24, 2021
    Date of Patent: February 20, 2024
    Assignee: BNSF Railway Company
    Inventors: Darrell R. Krueger, Garrett Smitley
  • Patent number: 11908166
    Abstract: A vehicular imaging system includes a camera disposed behind a windshield of a vehicle and viewing through a portion of the windshield. Image data captured by the camera is provided to a control. The control receives, via a communication bus of the vehicle, at least one selected from the group consisting of (i) vehicle pitch information relating to pitch of the vehicle, (ii) vehicle yaw information relating to yaw of the vehicle and (iii) vehicle steering information relating to steering of the vehicle. The system automatically corrects for misalignment of the camera. Image data captured by the camera is processed at the control for a lane departure warning system of the vehicle and for at least one selected from the group consisting of (i) an automatic headlamp control system of the vehicle, (ii) a collision avoidance system of the vehicle and (iii) an adaptive front lighting system of the vehicle.
    Type: Grant
    Filed: May 9, 2022
    Date of Patent: February 20, 2024
    Assignee: MAGNA ELECTRONICS INC.
    Inventors: Yuesheng Lu, Michael J. Higgins-Luthman, Antony V. Jeyaraj, Manoj R. Phirke
  • Patent number: 11908167
    Abstract: The system obtains a first digital image and a hash associated with the first digital image, where the hash associated with the first digital image is a hash of analog values recorded by a sensor involved in generating the first digital image. Based on the hash, the system retrieves the analog values from a database. Based on the analog values, the system reconstructs a second digital image. The system determines whether the first digital image and the second digital image are substantially the same. Upon determining that the first digital image and the second digital image are substantially the same, the system provides a first notification that the first digital image is the same as the second digital image, otherwise the system provides a second notification that the first digital image is different from the second digital image.
    Type: Grant
    Filed: May 18, 2023
    Date of Patent: February 20, 2024
    Assignee: OSOM PRODUCTS, INC.
    Inventors: Nicholas Franco, Jason Sean Gagne-Keats, Gary Anderson
  • Patent number: 11908168
    Abstract: Disclosed herein are a point cloud data transmission method including encoding point cloud data, and transmitting point cloud data, and a point cloud data reception method including receiving point cloud data, decoding the point cloud data, and rendering the point cloud data.
    Type: Grant
    Filed: June 23, 2021
    Date of Patent: February 20, 2024
    Assignee: LG Electronics Inc.
    Inventors: Jinwon Lee, Sejin Oh
  • Patent number: 11908169
    Abstract: A method of compressing meshes using a projection-based approach, leveraging and expanding the tools and syntax generated for projection-based volumetric content compression is described. The mesh is segmented into surface patches, with the difference that the segments follow the connectivity of the mesh. The dense mesh compression utilizes 3D surface patches to represent connected triangles on a mesh surface and groups of vertices to represent triangles not captured by surface projection. Each surface patch (or 3D patch) is projected to a 2D patch, whereby for the mesh, the triangle surface sampling is similar to a common rasterization approach. For each patch, position and connectivity of the projected vertices are kept. The sampled surface resembles a point cloud and is coded with the same approach used for point cloud compression. The list of vertices and connectivity per patch is encoded, and the data is sent with the coded point cloud data.
    Type: Grant
    Filed: May 11, 2021
    Date of Patent: February 20, 2024
    Assignee: Sony Group Corporation
    Inventor: Danillo Graziosi
  • Patent number: 11908170
    Abstract: A multi-level transferable region-based domain adaptive object detection apparatus includes: an image-level feature part that extracts an image-level feature by providing unlabeled target data to a plurality of convolutional layers; an RPN-level feature part that determines region candidates by providing the image-level feature to a region proposal network (RPN) and performing RPN-level domain adaptation and transferable region filtering; and an instance-level feature part that extracts a region of interest (RoI) pooling feature by conducting dynamic instance sampling on the region candidates.
    Type: Grant
    Filed: December 2, 2021
    Date of Patent: February 20, 2024
    Assignee: UIF (UNIVERSITY INDUSTRY FOUNDATION), YONSEI UNIVERSITY
    Inventors: Hye Ran Byun, Mi Rae Do, Seog Kyu Jeon, Ki Beom Hong
  • Patent number: 11908171
    Abstract: Systems and methods for enhanced object detection for autonomous vehicles based on field of view. An example method includes obtaining an image from an image sensor of one or more image sensors positioned about a vehicle. A field of view for the image is determined, with the field of view being associated with a vanishing line. A crop portion corresponding to the field of view is generated from the image, with a remaining portion of the image being downsampled. Information associated with detected objects depicted in the image is outputted based on a convolutional neural network, with detecting objects being based on performing a forward pass through the convolutional neural network of the crop portion and the remaining portion.
    Type: Grant
    Filed: December 22, 2022
    Date of Patent: February 20, 2024
    Assignee: Tesla, Inc.
    Inventors: Anting Shen, Romi Phadte, Gayatri Joshi
  • Patent number: 11908172
    Abstract: Robust recognition systems to identify potentially identifying information that is contained within a dataset representing a system target are disclosed, together with related method. In an implementations, the systems and methods receive the dataset, identify features in the dataset that have a characteristic indicative of an expected feature, processes the identified features to yield a candidate feature, wherein the candidate feature is one feature contained within the identified features that has the highest probability of containing potentially identifying information.
    Type: Grant
    Filed: July 22, 2021
    Date of Patent: February 20, 2024
    Assignee: Privacy4Cars, LLC
    Inventor: Andrea Amico
  • Patent number: 11908173
    Abstract: A first set of pixels forming a first set of rows and a first set of columns of a first image acquired by an image acquisition device is received. A first corrected set of pixels forming a first corrected set of rows and a first corrected set of columns is generated from the first set of pixels. Successive pixels of each row from the first corrected set of rows correspond to successive parallel lines in a plane defined by the sheet of light that are equally spaced along a first axis of a world coordinate system. Successive pixels of each column from the first corrected set of columns correspond to successive parallel lines in the plane defined by the sheet of light that are equally spaced along a second axis of the world coordinate system. Based on the first corrected set of pixels, a first set of points of the sheet of light is determined. The first set of points of the sheet of light is used to obtain a three-dimensional profile of the object.
    Type: Grant
    Filed: August 18, 2021
    Date of Patent: February 20, 2024
    Assignee: Matrox Electronics Systems, Ltd.
    Inventors: Vincent Zalzal, Christopher Hirst, Steve Massicotte, Jean-Sébastien Lemieux
  • Patent number: 11908174
    Abstract: Various methods and systems are provided for automatically classifying a plurality of image slices using body region bounding boxes identified from a localizer image. In one embodiment, a localizer image may be mapped to a plurality of bounding boxes, corresponding to a plurality of body regions, using a trained machine learning model. Coordinates of the plurality of bounding boxes may be used to determine body region boundaries, such that the body regions are non-intersecting and coherent. The body regions identified in the localizer image may then be correlated to image slice ranges, and image slices within each image slice range may be labeled as belonging to the corresponding body region.
    Type: Grant
    Filed: December 30, 2021
    Date of Patent: February 20, 2024
    Assignee: GE PRECISION HEALTHCARE LLC
    Inventors: Mathieu Bedez, Marouane Belhaj, Vincent Pangon
  • Patent number: 11908175
    Abstract: A method of training an image recognition model includes: generating a virtual dynamic vision sensor (DVS) image using a virtual simulator; generating label information including information about a correct answer to a result of recognition of the DVS image by the image recognition model, with respect to the DVS image; and training the image recognition model by modifying the image recognition model so that a difference between the result of recognition of the DVS image by the image recognition model and the label information is reduced.
    Type: Grant
    Filed: March 11, 2022
    Date of Patent: February 20, 2024
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Seowoo Jang, Sangung Yi
  • Patent number: 11908176
    Abstract: Disclosed is a data recognition model construction apparatus. The data recognition model construction apparatus includes a video inputter configured to receive a video, an image composition unit configured to, based on a common area included in each of a plurality of images that form at least a portion of the video, generate a composition image by overlaying at least a portion of the plurality of images, a learning data inputter configured to receive the generated composition image, a model learning unit configured to make a data recognition model learn using the generated composition image, and a model storage configured to store the learnt data recognition model.
    Type: Grant
    Filed: April 30, 2021
    Date of Patent: February 20, 2024
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Ji-man Kim, Chan-jong Park, Do-jun Yang, Hyun-woo Lee
  • Patent number: 11908177
    Abstract: The learning device 10D is learned to extract moving image feature amount Fm which is feature amount relating to the moving image data Dm when the moving image data Dm is inputted thereto, and is learned to extract still image feature amount Fs which is feature amount relating to the still image data Ds when the still image data Ds is inputted thereto. The first inference unit 32D performs a first inference regarding the moving image data Dm based on the moving image feature amount Fm. The second inference unit 34D performs a second inference regarding the still image data Ds based on the still image feature amount Fs. The learning unit 36D performs learning of the feature extraction unit 31D based on the results of the first inference and the second inference.
    Type: Grant
    Filed: May 29, 2019
    Date of Patent: February 20, 2024
    Assignee: NEC CORPORATION
    Inventors: Shuhei Yoshida, Makoto Terao
  • Patent number: 11908178
    Abstract: Reducing the number of parameters in a visual parameter set based on a sensitivity analysis of how a given visual parameter affects the performance of a computer vision model to provide a verification parameter set having a reduced size.
    Type: Grant
    Filed: January 4, 2022
    Date of Patent: February 20, 2024
    Assignee: ROBERT BOSCH GMBH
    Inventors: Christoph Gladisch, Christian Heinzemann, Matthias Woehrle
  • Patent number: 11908179
    Abstract: In one embodiment, a method includes, by a client system, receiving a user input from the first user of an online social network, where the user input is associated with a subject and an intent, determining whether one or more agents associated with the intent are able to resolve the user input, identifying, responsive to determining that the one or more agents are not able to resolve the user input, one or more entities related to the subject, where each identified entity is connected to the first user via the online social network, and presenting, at the client system, one or more recommendations to the first user corresponding to the one or more entities.
    Type: Grant
    Filed: April 11, 2022
    Date of Patent: February 20, 2024
    Assignee: Meta Platforms, Inc.
    Inventors: Jason Schissel, Emmanouil Koukoumidis, Shane Haladuick, Nicholas Robin, Fuchun Peng, Aleksey Sergeyevich Fadeev