Patents Examined by Amandeep Saini
  • Patent number: 11403511
    Abstract: In some implementations at an electronic device, training a dual EDNN includes defining a data structure of attributes corresponding to defined parts of a task, processing a first instance of an input using a first EDNN to produce a first output while encoding a first set of the attributes in a first latent space, and processing a second instance of the input using a second EDNN to produce a second output while encoding attribute differences from attribute averages in a second latent space. The device then determines a second set of the attributes based on the attribute differences and the attribute averages. The device then adjusts parameters of the first and second EDNNs based on comparing the first instance of the input to the first output, the second instance of the input to the second output, and the first set of attributes to the second set of attributes.
    Type: Grant
    Filed: July 18, 2019
    Date of Patent: August 2, 2022
    Assignee: Apple Inc.
    Inventors: Peter Meier, Tanmay Batra
  • Patent number: 11386988
    Abstract: Presented herein are systems and methods that provide for improved 3D segmentation of nuclear medicine images using an artificial intelligence-based deep learning approach. For example, in certain embodiments, the machine learning module receives both an anatomical image (e.g., a CT image) and a functional image (e.g., a PET or SPECT image) as input, and generates, as output, a segmentation mask that identifies one or more particular target tissue regions of interest. The two images are interpreted by the machine learning module as separate channels representative of the same volume. Following segmentation, additional analysis can be performed (e.g., hotspot detection/risk assessment within the identified region of interest).
    Type: Grant
    Filed: September 14, 2020
    Date of Patent: July 12, 2022
    Assignee: EXINI Diagnostics AB
    Inventors: Kerstin Elsa Maria Johnsson, Johan Martin Brynolfsson, Hannicka Maria Eleonora Sahlstedt
  • Patent number: 11386303
    Abstract: A method of operating a procedural language and content generation system that involves correlating environment objects and object movement to input controls through operation of a correlator, operating an interpreter to evaluate the correlation of the input controls and object/object movement against known libraries to generate programmatic instructions, storing the programmatic instructions as an instruction set, transforming the instruction set into executable commands through a compiler, and configuring control logic to perform the executable commands in response to receiving detected environment objects and detected object movement from an image processor.
    Type: Grant
    Filed: February 18, 2021
    Date of Patent: July 12, 2022
    Assignee: LabLightAR, Inc.
    Inventors: Roger Brent, Jamie Douglas Tremaine, John Max Kellum
  • Patent number: 11381818
    Abstract: Methods and apparatus are provided for determining quantization parameter predictors from a plurality of neighboring quantization parameters. An apparatus includes an encoder for encoding image data for at least a portion of a picture using a quantization parameter predictor for a current quantization parameter to be applied to the image data. The quantization parameter predictor is determined using multiple quantization parameters from previously coded neighboring portions. A difference between the current quantization parameter and the quantization parameter predictor is encoded for signaling to a corresponding decoder.
    Type: Grant
    Filed: July 1, 2020
    Date of Patent: July 5, 2022
    Assignee: INTERDIGITAL VC HOLDINGS, INC.
    Inventors: Xiaoan Lu, Joel Sole, Peng Yin, Qian Xu, Yunfei Zheng
  • Patent number: 11380135
    Abstract: Exemplary embodiments are directed to a system of enhancing biometric analysis matching. A processing device is configured to analyze the probe short-range and broadband iris texture information of a probe image for iris biometric authenticity, and based on the biometric authenticity of the probe short-range iris texture information and the probe broadband iris texture information, determine the biometric authenticity of the subject. Exemplary embodiments are also directed to a system of enhancing biometric analysis matching efficiency. The processing device generates an optimized order of enrollment iris biometric data includes a listing of the enrollment iris biometric data ordered by closest match to furthest match between the probe and enrollment broadband iris texture information. The processing device analyzes the iris biometric data for biometric authenticity starting with the closest match between the probe and enrollment broadband iris texture information.
    Type: Grant
    Filed: October 21, 2021
    Date of Patent: July 5, 2022
    Assignee: PRINCETON IDENTITY, INC.
    Inventors: David Alan Ackerman, Kenneth R. Boutot
  • Patent number: 11380120
    Abstract: In a driving assistance device, a human body specifying unit acquires, as human body information, an image of a human body existing around a host vehicle in image data acquired by a camera. A quasi-skeleton estimation unit estimates a quasi-skeleton of the human body from the human body information. The radar or the LiDAR measures a distance to a part of the human body that corresponds to the quasi-skeleton.
    Type: Grant
    Filed: March 27, 2020
    Date of Patent: July 5, 2022
    Assignee: Honda Motor Co., Ltd.
    Inventors: Ryoji Wakayama, Kazuma Ohara
  • Patent number: 11380002
    Abstract: This application discloses a map element extraction method and apparatus, and a server. The map element extraction method includes obtaining a laser point cloud and an image of a target scene, the target scene including a map element; performing registration between the laser point cloud and the image to obtain a depth map of the image; performing image segmentation on the depth map of the image to obtain a segmented image of the map element in the depth map; and converting a two-dimensional location of the segmented image in the depth map to a three-dimensional location of the map element in the target scene according to a registration relationship between the laser point cloud and the image.
    Type: Grant
    Filed: October 20, 2020
    Date of Patent: July 5, 2022
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Mao Shu, Si Chen
  • Patent number: 11380099
    Abstract: A device, system and method for controlling a communication device to provide notifications of successful documentation of events is provided. The device receives a type of a recognized event occurring at a location of an edge device. The device determines, based on the type of the recognized event, one or more multimedia data types for collection to document the recognized event. The device causes the edge device to collect multimedia data of the one or more multimedia data types. The device receives an indication that the multimedia data has been stored successfully. The device determines whether the multimedia data has successfully documented the recognized event. When the multimedia data has successfully documented the recognized event, the device controls the edge device to provide a notification of successful documentation of the recognized event.
    Type: Grant
    Filed: March 16, 2018
    Date of Patent: July 5, 2022
    Assignee: MOTOROLA SOLUTIONS, INC.
    Inventors: Pawel Wilkosz, Pawel Jedrzejewski, Mateusz Gazdziak
  • Patent number: 11368688
    Abstract: An encoder system may include an analyzer that analyzes a current image area in an input video to select a transform. A selectable residue transformer, controlled by the analyzer, may perform the selectable transform on a residue image generated from the current image area and a predicted current image area, to generate a transformed residue image. An encoder may encode the transformed residue image to generate output data. The analyzer controls the encoder to encode information to identify the selectable transform and to indicate that the selectable transform for the current image area is different from a transform of a previous image area of the input video. A decoder system may include components appropriate for decoding the output data from the encoder system.
    Type: Grant
    Filed: March 3, 2020
    Date of Patent: June 21, 2022
    Assignee: Apple Inc.
    Inventor: Alexandros Tourapis
  • Patent number: 11367176
    Abstract: A commodity management device includes a camera interface circuit connectable to a camera to capture an image of one of commodities arranged in a row along a first direction from a back plate to a front of the shelf. The device includes a sensor interface circuit connectable to a sensor measuring a distance to the commodities in the row. A processor is configured to detect a change in the distance measured by the sensor, identify the commodities based on the image, then acquire a thickness of each commodity in the row, and calculate the number of the commodities removed from the shelf based on the distance change and the thickness of the commodities.
    Type: Grant
    Filed: January 14, 2021
    Date of Patent: June 21, 2022
    Assignee: TOSHIBA TEC KABUSHIKI KAISHA
    Inventors: Takayuki Sawada, Tetsuya Nobuoka
  • Patent number: 11368689
    Abstract: An encoder system may include an analyzer that analyzes a current image area in an input video to select a transform. A selectable residue transformer, controlled by the analyzer, may perform the selectable transform on a residue image generated from the current image area and a predicted current image area, to generate a transformed residue image. An encoder may encode the transformed residue image to generate output data. The analyzer controls the encoder to encode information to identify the selectable transform and to indicate that the selectable transform for the current image area is different from a transform of a previous image area of the input video. A decoder system may include components appropriate for decoding the output data from the encoder system.
    Type: Grant
    Filed: March 18, 2020
    Date of Patent: June 21, 2022
    Assignee: Apple Inc.
    Inventor: Alexandros Tourapis
  • Patent number: 11367174
    Abstract: A transfer system includes a first imaging and detection system that detects an object by using a captured first image, an industrial machine that operates by using information detected by the first imaging and detection system, a second imaging and detection system disposed upstream of the first imaging and detection system to detect an object by using a captured second image, and an operation terminal that outputs, to the second imaging and detection system, an instruction instructing that detection be performed, and to change imaging and detection system data used in the second imaging and detection system. The first imaging and detection system includes a receiving unit to receive the imaging and detection system data from the second imaging and detection system. The second imaging and detection system includes a transmitting unit to transmit the imaging and detection system data to the first imaging and detection system.
    Type: Grant
    Filed: June 23, 2020
    Date of Patent: June 21, 2022
    Assignee: FANUC CORPORATION
    Inventor: Masaru Oda
  • Patent number: 11361551
    Abstract: Video frames from a video are compressed into a single image or a single data structure that represents a unique visual flowprint or visual signature for a given activity being modeled from the video frames. The flowprint comprises a computed summary of the original pixel values associated with the video frames within the single image and the flowprint is specific to movements occurring within the video frames that are associated with the given activity. In an embodiment, the flowprint is provided as input to a machine-learning algorithm to allow the algorithm to perform object tracking and monitoring from the flowprint rather than from the video frames of the video, which substantially improves processor load and memory utilization on a device that executes the algorithm, and substantially improved responsiveness of the algorithm.
    Type: Grant
    Filed: July 30, 2020
    Date of Patent: June 14, 2022
    Assignee: NCR Corporation
    Inventors: Joshua Migdal, Vikram Srinivasan
  • Patent number: 11361457
    Abstract: An annotation system uses annotations for a first set of sensor measurements from a first sensor to identify annotations for a second set of sensor measurements from a second sensor. The annotation system identifies reference annotations in the first set of sensor measurements that indicates a location of a characteristic object in the two-dimensional space. The annotation system determines a spatial region in the three-dimensional space of the second set of sensor measurements that corresponds to a portion of the scene represented in the annotation of the first set of sensor measurements. The annotation system determines annotations within the spatial region of the second set of sensor measurements that indicates a location of the characteristic object in the three-dimensional space.
    Type: Grant
    Filed: July 17, 2019
    Date of Patent: June 14, 2022
    Assignee: Tesla, Inc.
    Inventor: Anting Shen
  • Patent number: 11354814
    Abstract: A computer vision-based fastener loosening detection approach is described. A first image is captured at a first time and a second image is captured at a second time. A feature-based image registration is performed to create a third image. An intensity-based image registration is performed to create a fourth image. Registration errors are determined based on a comparison of the first and fourth images. A feature enhancement process is performed on the registration errors to determine whether the fastener has loosened between the first time and the second time.
    Type: Grant
    Filed: March 22, 2019
    Date of Patent: June 7, 2022
    Assignee: University of Kansas
    Inventors: Xiangxiong Kong, Jian Li
  • Patent number: 11348350
    Abstract: An observation system includes a processor. The processor manages a plurality of images acquired in time series with respect to a biological sample which is being cultured, records a first comment and a first region of interest (RoI) in a storage device in association with the images based on user's instructions, and records a second comment and a second ROI in the storage device in association with the first comment based on user's instructions.
    Type: Grant
    Filed: February 10, 2020
    Date of Patent: May 31, 2022
    Assignee: OLYMPUS CORPORATION
    Inventors: Shinichi Takimoto, Yohei Tanikawa, Taiji Mine, Takayuki Nakatomi, Masakazu Fujii
  • Patent number: 11348299
    Abstract: Embodiments relate to a method for real-time facial animation, and a processing device for real-time facial animation. The method includes providing a dynamic expression model, receiving tracking data corresponding to a facial expression of a user, estimating tracking parameters based on the dynamic expression model and the tracking data, and refining the dynamic expression model based on the tracking data and estimated tracking parameters. The method may further include generating a graphical representation corresponding to the facial expression of the user based on the tracking parameters. Embodiments pertain to a real-time facial animation system.
    Type: Grant
    Filed: January 27, 2020
    Date of Patent: May 31, 2022
    Assignee: Apple Inc.
    Inventors: Sofien Bouaziz, Mark Pauly
  • Patent number: 11341620
    Abstract: One example provides a computer-implemented method for reading data stored as birefringence values in a storage medium. The method comprises acquiring an image of a voxel of the storage medium, applying a first low-pass filter with a first cutoff frequency to the image of the voxel to obtain a first background image, applying a second low-pass filter with a second cutoff frequency to the image of the voxel to obtain a second background image, the second cutoff frequency being different than the first cutoff frequency, determining an enhanced background image from the first background image and the second background image, determining birefringence values for the enhanced background image, determining birefringence values for the image of the voxel, and correcting the birefringence values for the image of the voxel based upon the birefringence values for the enhanced background image.
    Type: Grant
    Filed: May 5, 2020
    Date of Patent: May 24, 2022
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Ariel Gomez Diaz, David Lara Saucedo, Peter Gyula Scholtz, Patrick Neil Anderson, Rokas Drevinskas, Richard John Black, James Hilton Clegg
  • Patent number: 11334974
    Abstract: Systems, methods, and apparatuses for reducing or eliminating reverberation artifacts in images are disclosed. Systems including one or more ultrasound probes are disclosed. Apparatuses for providing registration information for an ultrasound probe or probes at different positions are disclosed. A method of combining volume images acquired at different positions to reduce or eliminate reverberation artifacts is disclosed.
    Type: Grant
    Filed: August 10, 2018
    Date of Patent: May 17, 2022
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Shougang Wang, Jean-Luc Francois-Marie Robert, Hong Liu, Franciscus Hendrikus Van Heesch, Gerardus Henricus Maria Gijsbers, John Edward Dean, Evgeniy Leyvi
  • Patent number: 11328169
    Abstract: A temporal propagation network (TPN) system learns the affinity matrix for video image processing tasks. An affinity matrix is a generic matrix that defines the similarity of two points in space. The TPN system includes a guidance neural network model and a temporal propagation module and is trained for a particular computer vision task to propagate visual properties from a key-frame represented by dense data (color), to another frame that is represented by coarse data (grey-scale). The guidance neural network model generates an affinity matrix referred to as a global transformation matrix from task-specific data for the key-frame and the other frame. The temporal propagation module applies the global transformation matrix to the key-frame property data to produce propagated property data (color) for the other frame. For example, the TPN system may be used to colorize several frames of greyscale video using a single manually colorized key-frame.
    Type: Grant
    Filed: March 14, 2019
    Date of Patent: May 10, 2022
    Assignee: NVIDIA Corporation
    Inventors: Sifei Liu, Shalini De Mello, Jinwei Gu, Varun Jampani, Jan Kautz