Patents Examined by Matthew C. Bella
  • Patent number: 11557059
    Abstract: Various aspects of a system and a method for determining a position of one or more multi-dimensional objects are disclosed herein. In accordance with an embodiment, the system may include a memory and a processor. The processor may be configured to obtain, from a plurality of satellite images, shadow data of a first multi-dimensional object from one or more multi-dimensional objects on a visible surface. The processor may be configured to obtain, from a server, base elevation data and height data of the first multi-dimensional object. The processor may be further configured to generate a Digital Elevation Model (DEM) of the plurality of multi-dimensional objects. The processor may be further configured to determine a position of a second multi-dimensional object of the plurality of multi-dimensional objects on the visible surface, based on the generated DEM.
    Type: Grant
    Filed: March 19, 2019
    Date of Patent: January 17, 2023
    Assignee: HERE GLOBAL B.V.
    Inventor: Priyank Sameer
  • Patent number: 11557068
    Abstract: A method for image reconstruction from plural copies, the method including receiving a series of measured projections pi of a target object h and associated background; iteratively reconstructing images hi(k) of the target object and images gi(k) of the background of the target object for each member i of the series of the measured projections pi over plural iterations k; and generating a final image of the target object h, based on the reconstructed images hi, when a set condition is met. The index i describes how many elements are in the series of projections pi, and iteration k indicates how many times the reconstruction of the image target is performed.
    Type: Grant
    Filed: March 19, 2019
    Date of Patent: January 17, 2023
    Assignee: KING ABDULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY
    Inventors: Xin Gao, Renmin Han
  • Patent number: 11555877
    Abstract: Embodiments facilitate generation of a prediction of long-term survival (LTS) or short-term survival (STS) of Glioblastoma (GBM) patients. A first set of embodiments discussed herein relates to training of a machine learning classifier to determine a prediction for LTS or STS based on a radiographic-deformation and textural heterogeneity (r-DepTH) descriptor generated based on radiographic images of tissue demonstrating GBM. A second set of embodiments discussed herein relates to determination of a prediction of disease outcome for a GBM patient of LTS or STS based on an r-DepTH descriptor generated based on radiographic imagery of the patient.
    Type: Grant
    Filed: May 3, 2019
    Date of Patent: January 17, 2023
    Assignee: Case Western Reserve University
    Inventors: Pallavi Tiwari, Anant Madabhushi, Prateek Prasanna
  • Patent number: 11556731
    Abstract: An endoscopic image observation system supports the observation of a plurality of images captured by a capsule endoscope. The endoscopic image observation system includes a distinguishing unit that outputs an accuracy score indicating the likelihood that each of the plurality of images represents an image of a region sought to be distinguished; a grouping unit that groups the plurality of images into a plurality of clusters in accordance with the accuracy score; and an identification unit that identifies a candidate image for a boundary of the region from among the plurality of images in accordance with the grouping into the plurality of clusters.
    Type: Grant
    Filed: November 4, 2019
    Date of Patent: January 17, 2023
    Assignee: OLYMPUS CORPORATION
    Inventor: Norio Nishimura
  • Patent number: 11551368
    Abstract: An electronic device includes a processor and a memory coupled to the processor. The memory includes a computer readable storage medium having computer readable program instructions stored therein that are executable by the processor to determine a position and/or orientation of sensor device that is arranged to capture data for a subject from the position and/or at the orientation, and, based on the position and/or orientation that was determined, control creation of a 3D representation of the subject from the data captured by the sensor device. Related methods and computer program products are also discussed.
    Type: Grant
    Filed: August 31, 2017
    Date of Patent: January 10, 2023
    Assignee: Sony Group Corporation
    Inventors: Sebastian Farås, Mattias Walls, Johannes Elg, Fredrik Mattisson, Fredrik Olofsson, Lars Novak
  • Patent number: 11548274
    Abstract: The invention relates to a method for online quality control of decorative prints on substrate materials, including similarity comparisons of actual and target images and adjusting decorative prints if deviations of color values are detected. The method may include the steps of: a) producing a hyperspectral digital image of a print decoration; b) calibrating the print decoration via a hyperspectral digital image; c) producing and storing a digital target image of the print decoration; d) creating a first print decoration on a first substrate material; e) producing and storing a digital actual image of the printed decoration on the first substrate material; f) determining color deviations between the digital target image and the digital actual image via a computer program; and g) printing on at least one side of substrate materials so as to form a decorative layer. The invention also relates to a device for carrying out the method.
    Type: Grant
    Filed: June 6, 2019
    Date of Patent: January 10, 2023
    Assignee: Flooring Technologies Ltd.
    Inventor: Ingo Lehnhoff
  • Patent number: 11526707
    Abstract: One or more computer processors creating a plurality of k-hop neighborhood contextual subgraphs utilizing extracted labelled nodes from an input graph; compute an eigenvector centrality score for each node contained in each created subgraph in the plurality of k-hop neighborhood contextual subgraphs; propagate a label for each node in each subgraph in the plurality of k-hop neighborhood contextual subgraphs leveraging an aggregated mathematical decay function, preserving a topical context of the label; calculate an attributable prestige vector for each node in each subgraph in the plurality of k-hop neighborhood contextual subgraphs based on the propagated label and the computed eigenvector centrality score associated with each node in each subgraph in the plurality of k-hop neighborhood contextual subgraph; and unsupervised predict a subsequent label for one or more subsequent nodes, subgraphs, or graphs utilizing the calculated attributable prestige vectors for each node in each subgraph.
    Type: Grant
    Filed: July 2, 2020
    Date of Patent: December 13, 2022
    Assignee: International Business Machines Corporation
    Inventors: Mandar Mutalikdesai, Sheetal Srivastava, Kartikeya Vats, Debasish Kanhar
  • Patent number: 11521327
    Abstract: Disclosed is a detection target positioning method and device. The method comprises: acquiring an original image and pre-processing the original image to obtain a gradation of each pixel in a target gradation image corresponding to a target region including a detection target; calculating first gradation sets corresponding to rows of pixels of the target gradation image and second gradation sets corresponding to columns of pixels of the target gradation image; and determining rows of two ends of the detection target in a column direction according to the first gradation sets, determining columns of two ends of the detection target in a row direction according to the second gradation sets, and determining a center of the detection target according to the row of two ends of the detection target in the column direction and the columns of two ends of the detection target in the row direction.
    Type: Grant
    Filed: November 7, 2018
    Date of Patent: December 6, 2022
    Assignee: BEIJING BOE TECHNOLOGY DEVELOPMENT CO., LTD.
    Inventors: Fuyin Wang, Ruoyu Huang, Min Peng, Yue Li
  • Patent number: 11523053
    Abstract: An image processing apparatus includes a hardware processor configured to: acquire a plurality of pieces of image information including image-capturing regions overlapping partially; to set first and second correction values with a predetermined value, the first correction value being used for correction of luminance of a first region of interest included in a first overlap region in which a first image-capturing region overlaps an adjacent second image-capturing region, the second correction value being used for correction of luminance of a second region of interest included in a second overlap region in which the first image-capturing region overlaps an adjacent third image-capturing region; and to set with the first and second correction values an individual correction value used for correction of luminance of a region between the first region of interest and the second region of interest in the first image-capturing region.
    Type: Grant
    Filed: March 25, 2019
    Date of Patent: December 6, 2022
    Assignee: AISIN CORPORATION
    Inventors: Kinji Yamamoto, Kazuya Watanabe, Tetsuya Maruoka, Itsuko Fukushima
  • Patent number: 11514682
    Abstract: According to one or more embodiments, operations may comprise obtaining a first point cloud. The operations also comprise performing segmentation of the first point cloud, the segmentation generating one or more clusters of points of the point cloud. The operations also comprise determining, for each respective cluster of the plurality of clusters, a respective geometric feature of a corresponding object that corresponds to the respective cluster. The operations also comprise obtaining a second point cloud. The operations also comprise assigning a plurality of weights that comprises assigning a respective weight to each respective cluster based on the respective geometric feature that corresponds to the respective cluster. The operations also comprise obtaining a second point cloud and aligning the first point cloud with the second point cloud based on the plurality of weights.
    Type: Grant
    Filed: June 24, 2020
    Date of Patent: November 29, 2022
    Assignee: NVIDIA CORPORATION
    Inventor: Derik Schroeter
  • Patent number: 11504548
    Abstract: Systems and methods for quality control in image-guided radiotherapy are provided. In some aspects, a method includes acquiring treatment images from a patient using an imaging system, and performing a registration using the treatment images and simulation images acquired during a simulation process. The method also includes computing at least one similarity metric based on the registration performed, and determining a conformance of the at least one similarity metric to predetermined limits. The method further includes generating a report indicative of the conformance.
    Type: Grant
    Filed: August 2, 2019
    Date of Patent: November 22, 2022
    Assignee: Mayo Foundation for Medical Education and Research
    Inventors: Luis E. Fong de los Santos, Michael P. Grams, Satomi Shiraishi
  • Patent number: 11501538
    Abstract: A device may obtain video data associated with a driving event involving a first vehicle. The device may determine a vanishing point associated with the video data and may construct a cone of impact of the first vehicle based on the vanishing point. The device may detect a second vehicle within the cone of impact and may analyze the subset of video frames to determine a distance between the first vehicle and the second vehicle. The device may determine a speed of the first vehicle during a time period associated with a subset of video frames. The device may determine a headway score, representative of a severity associated with the first vehicle being within a proximity threshold of the second vehicle during the time period, based on the distance and the speed. The device may determine an occurrence of a tailgating event based on the headway score.
    Type: Grant
    Filed: August 24, 2020
    Date of Patent: November 15, 2022
    Assignee: Verizon Connect Development Limited
    Inventors: Tommaso Bianconcini, Stefano Caprasecca, Tommaso Mugnai, Luca Bravi, Francesco Sambo, Leonardo Taccari
  • Patent number: 11494934
    Abstract: An image processing device includes: a reception unit that receives at least one first image provided from at least one first camera capturing an image of a region in which an object exists and a plurality of second images provided from a plurality of second cameras capturing images of a region including a dead region hidden by the object and invisible from a position of the first camera; and an image processing unit that generates a complementary image, as an image of a mask region in the at least one first image corresponding to the object, from the plurality of second images and generates a synthetic display image by combining the at least one first image and the complementary image.
    Type: Grant
    Filed: March 29, 2018
    Date of Patent: November 8, 2022
    Assignee: MITSUBISHI ELECTRIC CORPORATION
    Inventors: Kohei Okahara, Ichiro Furuki, Tsukasa Fukasawa, Kento Yamazaki
  • Patent number: 11494689
    Abstract: There is provided systems and methods for training a classifier. The method comprises: obtaining a classifier for classifying data into one of a plurality of classes; retrieving training data comprising a set of observations and a set of corresponding labels, each label representing an assigned class for a corresponding observation; and applying an agent trained by a reinforcement learning system to generate labeled data from unlabeled observations and train the classifier using the training data and the labeled data according to a policy determined by the reinforcement learning system.
    Type: Grant
    Filed: June 5, 2018
    Date of Patent: November 8, 2022
    Assignee: Chatterbox Labs Limited
    Inventors: Ioannis Efstathiou, Stuart Battersby, Henrique Nunes, Zheng Yuan
  • Patent number: 11475238
    Abstract: An image processing system has one or more memories and image processing circuitry coupled to the one or more memories. The image processing circuitry, in operation, compares a first image to feature data in a comparison image space using a matching model. The comparing includes: unwarping keypoints in keypoint data of the first image; and comparing the unwarped keypoints and descriptor data associated with the first image to the feature data of the comparison image. The image processing circuitry determines whether the first image matches the comparison image based on the comparing.
    Type: Grant
    Filed: January 24, 2020
    Date of Patent: October 18, 2022
    Assignee: STMICROELECTRONICS S.r.l.
    Inventors: Arcangelo Ranieri Bruna, Danilo Pietro Pau
  • Patent number: 11468697
    Abstract: The disclosure provides a pedestrian re-identification method based on a spatio-temporal joint model of a residual attention mechanism and a device thereof. The method includes: performing feature extraction for an input pedestrian with a pre-trained ResNet-50 model; constructing a residual attention mechanism network including a residual attention mechanism module, a feature sampling layer, a global average pooling layer and a local feature connection layer; calculating a feature distance by using a cosine distance and denoting the feature distance as a visual probability according to the trained residual attention mechanism network; performing modeling for a spatio-temporal probability according to camera ID and frame number information in a pedestrian tag of a training sample, and performing Laplace smoothing for a probability model; and calculating a final spatio-temporal joint probability by using the visual probability and the spatio-temporal probability to obtain a pedestrian re-identification result.
    Type: Grant
    Filed: December 14, 2020
    Date of Patent: October 11, 2022
    Assignee: WUHAN UNIVERSITY
    Inventors: Zhenfeng Shao, Jiaming Wang
  • Patent number: 11457795
    Abstract: A processor for an electronic endoscope includes: a region detection unit configured to detect an enhancement processing target region to be enhanced from pixel information of a captured image of a living tissue; and an enhancement processing unit configured to perform enhancement processing on the enhancement processing target region detected by the region detection unit. The region detection unit is configured to repeat a candidate extraction process of extracting a focused pixel as a candidate for an enhancement processing target region when a signal level value of the focused pixel is smaller than signal level values of two farthest pixels located on both sides farthest from the focused pixel in any one of a plurality of pixel array directions in a region surrounded by a frame surrounding a region with the focused pixel as a center while changing a size of the frame.
    Type: Grant
    Filed: November 2, 2018
    Date of Patent: October 4, 2022
    Assignee: HOYA CORPORATION
    Inventors: Takao Makino, Jurgen Glatz
  • Patent number: 11461966
    Abstract: Free space machine interface and control can be facilitated by predictive entities useful in interpreting a control object's position and/or motion (including objects having one or more articulating members, i.e., humans and/or animals and/or machines). Predictive entities can be driven using motion information captured using image information or the equivalents. Predictive information can be improved applying techniques for correlating with information from observations.
    Type: Grant
    Filed: November 20, 2020
    Date of Patent: October 4, 2022
    Assignee: Ultrahaptics IP Two Limited
    Inventors: Kevin A Horowitz, David S Holz
  • Patent number: 11461900
    Abstract: A dynamic image analysis system includes a modality and a hardware processor. The modality generates first and second dynamic images each composed of frame images indicating dynamics of a subject. The processor detects a first signal value of a pixel in a first region in each of the frame images of the first dynamic image. The hardware processor detects a second signal value of a pixel in a second region in which an identical site to that of the first region is imaged, the second region being in each of the frame images of the second dynamic image. The processor determines an image processing condition for making the first signal value close to the second signal value based on the first and second signal values detected. The hardware processor performs image processing on the first dynamic image under the determined image processing condition to generate a processed dynamic image.
    Type: Grant
    Filed: February 24, 2020
    Date of Patent: October 4, 2022
    Assignee: KONICA MINOLTA, INC.
    Inventors: Sumiya Nagatsuka, Naoki Hayashi
  • Patent number: 11462024
    Abstract: A traffic signal information management system executes a region-of-interest calculation processing to calculate, based on a position information of a vehicle and a traffic signal information indicating the position of a traffic signal, a region of interest in which a traffic signal is presumed to be present in an image imaged by the camera, and also execute a traffic signal image detection processing to detect a traffic signal image included in the region of interest. The traffic signal information management system then execute an evaluation processing to perform a comparison between the position of the region of interest calculated by the region-of-interest calculation processing and the position of the traffic signal image detected by the traffic signal image detection processing and evaluate the certainty of the traffic signal information based on the comparison.
    Type: Grant
    Filed: July 21, 2020
    Date of Patent: October 4, 2022
    Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Yusuke Hayashi, Taichi Kawanai