Patents Examined by Amir Alavi
  • Patent number: 11120571
    Abstract: A system is for measuring the deformations of at least one element of at least one examined construction, with at least one marker (1) fixedly attached to an element of the examined construction, at least one sensor (2) configured and programmed to record data related to the position of the marker (1) in the form of digital data, a processing unit (4) configured and programmed to process the data related to the position of the marker (1), connected communicatively to the sensor (2), preferably via a receiving unit (3), characterised in that the marker (1) comprises at least ten light-emitting characteristic points. A method is also provided for measuring the deformations of the examined construction implemented in such a system.
    Type: Grant
    Filed: October 14, 2019
    Date of Patent: September 14, 2021
    Assignee: INTELLIGENT CONSTRUCTION SAFETY SYSTEMS SP. Z.O.O.
    Inventor: Monika Karolina Murawska
  • Patent number: 11113564
    Abstract: Methods, apparatus, systems to perform distance-based feature suppression of features of an image in a feature list of the image are disclosed. A method includes accessing the feature list, comparing a selected feature in the feature list with features located within a first distance of the selected feature, when features located within the first distance are non-suppressed or valid and are stronger than different non-suppressed features, marking the features as valid and marking other non-suppressed features as suppressed. When the features are suppressed or invalid and are not stronger than non-suppressed features, determining if features of the feature list are marked as valid or suppressed.
    Type: Grant
    Filed: January 28, 2020
    Date of Patent: September 7, 2021
    Assignee: Texas Instruments Incorporated
    Inventor: Jesse Gregory Villarreal, Jr.
  • Patent number: 11113580
    Abstract: An image classification system includes a storage device, a computing device and a first processing device. The storage device stores a plurality of pseudo-centroid datasets, wherein the pseudo-centroid datasets correspond to a plurality of units of first image dataset, and the number of pseudo-centroid data points of each of the pseudo-centroid datasets is much smaller than the number of data points of each of the units of first image dataset. The computing device receives the second image data and computes a plurality of feature values of the second image data. The first processing device receives the feature values and the pseudo-centroid datasets, and compares the feature values with the pseudo-centroid data points to identify and classify the second image data.
    Type: Grant
    Filed: December 30, 2019
    Date of Patent: September 7, 2021
    Assignee: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE
    Inventors: Jiung-Yao Huang, Hsin-Lung Wu, Juin-Ming Lu
  • Patent number: 11107252
    Abstract: A Huffman decoding unit includes: a code analysis unit configured to analyze compressed image data in encoded data sequentially received, and sequentially recognize zero run information, group number information, and additional bit information; and a frequency conversion unit configured to generate coefficient information based on the recognized zero run information, group number information and additional bit information. The code analysis unit receives the encoded data sequentially received and cutout information for cutting out a partial image from an entire image that is decodable based on the compressed image data. When the cutout information is received, only in a case where the compressed image data sequentially received is compressed image data intended for cutout, the code analysis unit outputs, to the frequency conversion unit, the zero run information, the group number information, and the additional bit information, each of which is recognized by analyzing the compressed image data.
    Type: Grant
    Filed: January 10, 2018
    Date of Patent: August 31, 2021
    Assignee: SHIKINO HIGH-TECH CO., LTD.
    Inventors: Koichi Furutani, Keisuke Saito
  • Patent number: 11107239
    Abstract: An orientation detection method and device, electronic device and storage medium, the method comprising: determining first position information of at least one first feature part of a target object in a target image (S100); determining three-dimensional position information of a second feature part of the target object on the basis of the first position information and device parameters of a camera device (S200); and determining spatial orientation of the target object on the basis of the first position information of the at least one first feature part comprised in the second feature part and the three-dimensional position information of the second feature part (S300). The described method may increase the accuracy of orientation detection.
    Type: Grant
    Filed: June 28, 2019
    Date of Patent: August 31, 2021
    Assignee: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO., LTD.
    Inventors: Min Wang, Wentao Liu, Chen Qian
  • Patent number: 11106929
    Abstract: A mobile device such as a mobile phone is used to image a nearby user for eye tracking at a closer range than would be provided by cameras on a display device such as a TV and send the eye tracking data to a server streaming video being presented on the display. The eye tracking data is used by the server to identify a region of interest (ROI) in the video, which is more highly compressed than regions outside the ROI to facilitate efficient compression of the video game image while preserving the quality of the ROI in the image where the user is looking.
    Type: Grant
    Filed: August 29, 2019
    Date of Patent: August 31, 2021
    Assignee: Sony Interactive Entertainment Inc.
    Inventors: Jeffrey R. Stafford, Yutaka Yokokawa
  • Patent number: 11107204
    Abstract: A method and system for tone-mapping an image includes determining a tone-curve based on a model of image contrast distortion between the input image and a tone-mapped image and tone-mapping the input image according to the determined tone-curve. Determining the tone curve includes analytically calculating values of the tone-curve that reduce the image contrast distortion within the model of image contrast distortion. A tone-mapping operator includes a noise model generator and a tone-mapping module operable to receive one or more contextual parameters. The tone-mapping module includes an edge-stopping filtering submodule for extracting a base layer and detail layer of the input image, a tone-curve generating submodule and a combining submodule for combining the base layer and detail layer. At least one of the edge-stopping filtering submodule, the tone-curve generating submodule and combining submodule is adjustable based on the contextual parameters.
    Type: Grant
    Filed: September 2, 2016
    Date of Patent: August 31, 2021
    Assignee: Faurecia Irystec, Inc.
    Inventors: Jonas Unger, Gabriel Eilertsen, Rafal Mantiuk
  • Patent number: 11107249
    Abstract: A method of mapping 3D point cloud data into 2D surfaces for further efficient temporal coding is described herein. Point cloud global tetris packing utilizes 3D surface patches to represent point clouds and performs temporally consistent global mapping of 3D patch surface data into 2D canvas images. Point cloud global tetris packing includes calculating an accumulated occupancy map and a weight of each patch according to the matched patches.
    Type: Grant
    Filed: October 17, 2019
    Date of Patent: August 31, 2021
    Assignee: Sony Group Corporation
    Inventor: Danillo Graziosi
  • Patent number: 11102491
    Abstract: An intra prediction method and a device using the intra prediction method are provided. The intra prediction method includes the steps of: deriving a current prediction mode as a prediction anode of a current block; constructing neighboring samples of the current block with available reference samples; filtering the available reference samples; and generating predicted samples of the current block on the basis of the filtered available reference samples. The filtering step includes performing the filtering using the available reference sample located in the prediction direction of the current prediction mode and a predetermined number of available reference samples neighboring to the prediction direction of the current prediction mode.
    Type: Grant
    Filed: February 28, 2020
    Date of Patent: August 24, 2021
    Assignee: LG ELECTRONICS INC.
    Inventors: Yong Joon Jeon, Seung Wook Park, Jung Sun Kim, Joon Young Park, Byeong Moon Jeon, Jae Hyun Lim
  • Patent number: 11100374
    Abstract: A processor-implemented classification method includes: determining a first probability vector including a first probability, for each of a plurality of classes, resulting from a classification of an input with respect to the classes; determining, based on the determined first probability vector, whether one or more of the classes represented in the first probability vector are confusing classes; adjusting, in response to one or more of the classes being the confusing classes, the determined first probability vector based on a first probability of each of the confusing classes and a maximum value of the first probabilities; determining a second probability vector including a second probability, for each of the classes, resulting from another classification of the input with respect to the classes; and performing classification on the input based on a result of a comparison between the determined second probability vector and the adjusted first probability vector.
    Type: Grant
    Filed: November 1, 2019
    Date of Patent: August 24, 2021
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Young-Seok Kim, Hwidong Na, Seongmin Ok, Min-Joong Lee
  • Patent number: 11087506
    Abstract: Image processing systems and methods are disclosed, including an image processing system comprising a computer running image processing software causing the computer to: divide an oblique aerial image into a plurality of sections, choose reference aerial image(s), having a consistent color distribution, for a first section and a second section; create a color-balancing transformation for the first and second sections of the oblique aerial image such that the first color distribution of the first section matches the consistent color distribution of the chosen reference aerial image and the second color distribution of the second section matches the consistent color distribution of the chosen reference aerial image; color-balance pixel(s) in the first and section sections of the oblique aerial image, such that at least one color-balancing transformation of the first and second sections matches the consistent color distribution of the reference aerial image(s).
    Type: Grant
    Filed: March 2, 2020
    Date of Patent: August 10, 2021
    Assignee: Pictometry International Corp.
    Inventors: Stephen L. Schultz, Frank D. Giuffrida, Robert Gray
  • Patent number: 11087428
    Abstract: There is provided with an image processing apparatus for performing image processing for an input image. Each of N processing modules refers to a processing result for a reference pixel different from a processing target pixel and generates a processing result for the processing target pixel. Each of the N processing modules generates a processing result for a first pixel included in the first pixel line and next generates a processing result for a second pixel. The second pixel is included in a second pixel line different from the first pixel line in the processing target region and becomes processable in accordance with the generation of the processing result for the first pixel.
    Type: Grant
    Filed: March 8, 2019
    Date of Patent: August 10, 2021
    Assignee: CANON KABUSHIKI KAISHA
    Inventors: Shigeo Kodama, Kohei Kishi
  • Patent number: 11080845
    Abstract: An image processing apparatus and method thereof are provided. The image processing apparatus stores at least a reference image and performs the following operations: (a) receiving an image, (b) determining a plurality of representative keypoints for the image, such as determining the representative keypoints by a density restriction based method, (c) finding out that a matched area in the image corresponds to a first reference image according to the representative keypoints, (d) determining that a matched number between the representative keypoints and a plurality of reference keypoints of the first reference image is less than a threshold, and (e) storing the matched area in the image processing apparatus as a second reference image.
    Type: Grant
    Filed: January 8, 2020
    Date of Patent: August 3, 2021
    Assignee: HTC CORPORATION
    Inventor: Shu-Jhen Fan Jiang
  • Patent number: 11080514
    Abstract: A smart device having a photo processing system, and a related program product and method for processing photos. The photo processing system includes: a detector that detects when a photo is displayed on the smart device; an auto capture system that captures a viewer image from a front facing camera on the smart device in response to detecting that the photo is being displayed; a facial matching system that determines whether the viewer image matches any face images in the photo; and an auto zoom system that enlarges and displays a matched face image from the photo.
    Type: Grant
    Filed: September 13, 2019
    Date of Patent: August 3, 2021
    Assignee: Citrix Systems, Inc.
    Inventors: Nandikotkur Achyuth, Divyansh Deora, Arnav Akhoury
  • Patent number: 11074686
    Abstract: A disease diagnosis system including a processor and a storage device for storing a neural network and using a biometric image and the neural network, the disease diagnosis system including a micro-neural network for receiving a first tile included in the biometric image through a first input layer, and including a plurality of first layers and an output layer, and a macro-neural network for receiving a macro-tile including the first tile and at least one or more second tiles adjacent to the first tile through a second input layer, and including a plurality of second layers and the output layer, in which the output layer includes at least one state channel indicating a state of a disease of a biological tissue corresponding to the first tile.
    Type: Grant
    Filed: December 6, 2017
    Date of Patent: July 27, 2021
    Assignee: DEEP BIO, INC.
    Inventor: Sun Woo Kim
  • Patent number: 11068699
    Abstract: The present disclosure relates to an image processing device, an image processing method, and a telecommunication system including a high fidelity display region setting unit for setting a predetermined region as a high fidelity display region, a high fidelity image generation unit for generating a high fidelity image in which the first user looks are captured from a virtual capture position that is obtained by setting a viewpoint position of a second user as the virtual capture image, a low fidelity image generation unit for generating a low fidelity image in which the first user looks are captured from the virtual capture position and having lower fidelity than the high fidelity image, and an image superimposing unit for superimposing the high fidelity image on the high fidelity display region of the low fidelity image to generate an output image to be output as an image processing result.
    Type: Grant
    Filed: May 24, 2018
    Date of Patent: July 20, 2021
    Assignee: SONY CORPORATION
    Inventor: Seiji Kimura
  • Patent number: 11069041
    Abstract: A method of filtering a target pixel in an image forms, for a kernel of pixels comprising the target pixel and its neighbouring pixels, a data model to model pixel values within the kernel; calculates a weight for each pixel of the kernel comprising: (i) a geometric term dependent on a difference in position between that pixel and the target pixel; and (ii) a data term dependent on a difference between a pixel value of that pixel and its predicted pixel value according to the data model; and uses the calculated weights to form a filtered pixel value for the target pixel, e.g. by updating the data model with a weighted regression analysis technique using the calculated weights for the pixels of the kernel; and evaluating the updated data model at the target pixel position so as to form the filtered pixel value for the target pixel.
    Type: Grant
    Filed: June 25, 2019
    Date of Patent: July 20, 2021
    Assignee: Imagination Technologies Limited
    Inventor: Ruan Lakemond
  • Patent number: 11062183
    Abstract: System and method of facilitating generation of 3D training content is disclosed. In one embodiment, the method may include classifying a 3D model to determine the one or more objects associated with the 3D model by implementing a machine learning model. The classification of the 3D model includes analysis of the 3D model and extraction of feature set for the one or more objects in the 3D model in order to determine a class and a tag for the one or more objects in the 3D model. The method may further include assigning the class and the tag to the one or more objects in the 3D model. The method may further include assigning one or more functionalities to the objects based on the at least one tag, and creating a 3D training content by using the objects assigned with the at least one tag and the one or more functionalities.
    Type: Grant
    Filed: July 9, 2019
    Date of Patent: July 13, 2021
    Assignee: Wipro Limited
    Inventors: Aditi Dey, Raymond Dixon John Francis Regis
  • Patent number: 11062180
    Abstract: Methods and systems for training machine vision models (MVMs) with “noisy” training datasets are described. A noisy set of images is received, where labels for some of the images are “noisy” and/or incorrect. A progressively-sequenced learning curriculum is designed for the noisy dataset, where the images that are easiest to learn machine-vision knowledge from are sequenced near the beginning of the curriculum and images that are harder to learn machine-vision knowledge from are sequenced later in the curriculum. An MVM is trained via providing the sequenced curriculum to a supervised learning method, so that the MVM learns from the easiest examples first and the harder training examples later, i.e., the MVM progressively accumulates knowledge from simplest to most complex. To sequence the curriculum, the training images are embedded in a feature space and the “complexity” of each image is determined via density distributions and clusters in the feature space.
    Type: Grant
    Filed: July 18, 2018
    Date of Patent: July 13, 2021
    Assignee: Shenzhen Malong Technologies Co., Ltd.
    Inventors: Sheng Guo, Weilin Huang, Haozhi Zhang, Chenfan Zhuang, Dengke Dong, Matthew R. Scott, Dinglong Huang
  • Patent number: 11062133
    Abstract: Computer-implemented methods are provided for generating a data structure representing tabular information in a scanned image. Such a method can include storing image data representing a scanned image of a table, processing the image data to identify positions of characters and lines in the image, and mapping locations in the image of information cells, each containing a set of the characters, in dependence on said positions. The method can also include, for each cell, determining cell attribute values, dependent on the cell locations, for a predefined set of cell attributes, and supplying the attribute values as inputs to a machine-learning model trained to pre-classify cells as header cells or data cells in dependence on cell attribute values.
    Type: Grant
    Filed: June 24, 2019
    Date of Patent: July 13, 2021
    Assignee: International Business Machines Corporation
    Inventors: Antonio Foncubierta Rodriguez, Maria Gabrani, Waleed Farrukh