Patents Examined by Alex Kok S Liew
  • Patent number: 11120072
    Abstract: A computer transforms high-dimensional data into low-dimensional data. (A) A distance matrix is computed from observation vectors. (B) A kernel matrix is computed from the distance matrix using a bandwidth value. (C) The kernel matrix is decomposed using an eigen decomposition to define eigenvalues. (D) A predefined number of largest eigenvalues are selected from the eigenvalues. (E) The selected largest eigenvalues are summed. (F) A next bandwidth value is computed based on the summed eigenvalues. (A) through (F) are repeated with the next bandwidth value until a stop criterion is satisfied. Each observation vector of the observation vectors is transformed into a second space using a kernel principal component analysis with the next bandwidth value and the kernel matrix. The second space has a dimension defined by the predefined number of first eigenvalues. Each transformed observation vector is output.
    Type: Grant
    Filed: February 23, 2021
    Date of Patent: September 14, 2021
    Assignee: SAS Institute Inc.
    Inventors: Kai Shen, Haoyu Wang, Arin Chaudhuri
  • Patent number: 11119025
    Abstract: The present invention provides a method for determining the porosity of rock from a digital image of the rock. A three-dimensional image of a rock is obtained and segmented, and an image porosity is determined from the segmented image of the rock. A porosity correction parameter is obtained from a non-wetting liquid capillary pressure curve derived from the segmented image, and the porosity correction parameter is applied to the image porosity to obtain a corrected porosity of the rock.
    Type: Grant
    Filed: September 11, 2019
    Date of Patent: September 14, 2021
    Assignee: SHELL OIL COMPANY
    Inventors: Nishank Saxena, Amie Marie Hows, Ronny Hofmann, Matthias Appel, John Justin Freeman
  • Patent number: 11120296
    Abstract: A method performed by an apparatus is described. The method includes receiving a first set of object data corresponding to a first journey. The method also includes receiving a second set of object data corresponding to a second journey. The method further includes determining a similarity metric between the first set of object data and the second set of object data. The similarity metric indicates a distance between the first set of object data and the second set of object data for at least one object. The method additionally includes clustering the first set of object data and the second set of object data for the at least one object based on the similarity metric to produce at least one object cluster. The method also includes producing map data based on the at least one object cluster.
    Type: Grant
    Filed: April 4, 2019
    Date of Patent: September 14, 2021
    Assignee: QUALCOMM Incorporated
    Inventors: Onkar Jayant Dabeer, Kiran Somasundaram, Radhika Dilip Gowaikar, Ravi Teja Sukhavasi
  • Patent number: 11107585
    Abstract: A system and method are provided for collection and testing of a biologic sample. The system and method comprise collecting by a user of a testing device a biologic sample for use with the testing device, assigning correlative values as test results, and receiving the test results at a server disposed on a network. Some aspects further include presenting advertisements and other messages to users through a mobile application operating on a mobile device. These aspects take into account the results of the self-diagnostic test and present different advertisements to the user based on the results of the test.
    Type: Grant
    Filed: September 20, 2018
    Date of Patent: August 31, 2021
    Assignee: RELIANT IMMUNE DIAGNOSTICS, INC
    Inventors: Jovan Hutton Pulitzer, Henry Joseph Legere, III
  • Patent number: 11107035
    Abstract: One variation of a method for tracking and maintaining inventory in a store includes: accessing a image of an inventory structure in the store; identifying a top shelf, in the inventory structure, depicted in the image; identifying a set of product units occupying the top shelf based on features detected in the image; identifying a second shelf, in the set of shelves in the inventory structure, depicted in the image, the second shelf arranged below the top shelf in the inventory structure; based on features detected in the image, detecting an understock condition at a slot—assigned to a product type—on the second shelf; and, in response to the set of product units comprising a product unit of the product type, generating a prompt to transfer the product unit of the product type from the top shelf into the slot on the second shelf at the inventory structure.
    Type: Grant
    Filed: November 25, 2020
    Date of Patent: August 31, 2021
    Assignee: Simbe Robotics, Inc.
    Inventors: Bradley Bogolea, Durgesh Tiwari, Jariullah Safi, Shiva Reddy, Lorin Vandegrift
  • Patent number: 11100641
    Abstract: Methods for estimating plant age are provided. A first dataset comprising a first plurality of images of a first plurality of plants is obtained, including for each plant of the first plurality of plants, one or more first plant features. A second dataset comprising, for each plant of the first plurality of plants, a respective second plant location and plant age is obtained. The one or more first plant features and plant age for plants in the first plurality of plants are used to train a model for plant age determination. A third dataset comprising a second plurality of images of a second agricultural plot is obtained, including for a second plurality of plants in the second agricultural plot one or more corresponding second plant features. Ages for plants in the second plurality of plants are estimated by inputting one or more respective second plant features into the trained model.
    Type: Grant
    Filed: April 6, 2021
    Date of Patent: August 24, 2021
    Assignee: Aerobotics (Pty) Ltd
    Inventors: Michael Malahe, Benjamin Chaim Meltzer, Stuart Allan Van Der Veen, Garth Samuel Dominic Wasson
  • Patent number: 11093747
    Abstract: Methods, systems, and devices are provided for identifying hazards. According to one aspect, a computer-implemented method can include receiving a plurality of sensor data including one or more image files from a mobile device. The method can include generating one or more position and label pairs based on the plurality of sensor data. The method can include assigning a hazard recognition to each of the position and label pairs. The method can include assigning a score associated to each of the hazard recognitions. The method can include displaying a result including one or more image results based on the one or more image files, one or more hazard recognitions, the one or more hazard recognitions associated with at least one of the one or more image results, and one or more scores associated to each of the hazard recognitions.
    Type: Grant
    Filed: April 16, 2019
    Date of Patent: August 17, 2021
    Assignee: PeerWell, Inc.
    Inventors: Manish Shah, Jeffrey Greenberg, Evan Minamoto, Navin Gupta, Paolo Tagliani, Francisco Jose Montiel Navarro
  • Patent number: 11087077
    Abstract: Embodiments are generally directed to techniques for extracting contextually structured data from document images, such as by automatically identifying document layout, document data, and/or document metadata in a document image, for instance. Many embodiments are particularly directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. For example, the document template database may include a plurality of templates for identifying/explaining key data elements in various document image formats that can be used to extract contextually structured data from incoming document images with a matching document image format. Several embodiments are particularly directed to automatically identifying and associating document metadata with corresponding document data in a document image, such as for generating a machine-facilitated annotation of the document image.
    Type: Grant
    Filed: November 5, 2020
    Date of Patent: August 10, 2021
    Assignee: SAS INSTITUTE INC.
    Inventors: David James Wheaton, William Robert Nadolski, Heather Michelle GoodyKoontz
  • Patent number: 11087450
    Abstract: Disclosed herein are systems and methods for selecting re-usable car wheels, comprising, receiving one or more images of an evaluated used car wheel, transforming one or more of the images to multi-dimension feature vectors, mapping the evaluated used car wheel to one of a plurality of used car wheels by applying one or more trained ML models to classify the multi-dimension feature vector. The one or more trained ML models are trained using a plurality of multi-dimension feature vectors each created based on a plurality of images of a plurality of used car wheels, computing a price value of the mapped used car wheel based on a plurality of sale transactions of used car wheels such as the mapped used car wheel, and generating instructions to indicate whether the evaluated used car wheel is re-usable or not based on comparison between the computed price value and a price threshold.
    Type: Grant
    Filed: March 5, 2021
    Date of Patent: August 10, 2021
    Assignee: Bitton Group Investments Inc.
    Inventor: Michael Bitton
  • Patent number: 11081219
    Abstract: Disclosed is a method for cross-authenticating non-credentialed devices and trusted blockchain enabled applications using multiple communications modalities and gathering information upon request for a blockchain network.
    Type: Grant
    Filed: October 5, 2020
    Date of Patent: August 3, 2021
    Assignee: LedgerDomain Inc.
    Inventors: Victor Bovee Dods, Benjamin James Taylor, William Jack, Leonid Alekseyev
  • Patent number: 11074734
    Abstract: An image processing apparatus includes at least one processor causing the image processing apparatus to act as an acquisition unit configured to acquire a plurality of images, a determination unit configured to determine a template on which one or more images selected from the plurality of images are arranged, and a layout unit configured to arrange the selected one or more images in slots within the determined template. In a case when the determined template includes a background slot and a foreground slot that overlaps a part of the background slot, the layout unit arranges, into the background slot, one image out of the selected one or more images and also arranges, into the foreground slot, the one image.
    Type: Grant
    Filed: April 22, 2019
    Date of Patent: July 27, 2021
    Assignee: Canon Kabushiki Kaisha
    Inventors: Hiroyasu Kunieda, Takayuki Yamada
  • Patent number: 11055844
    Abstract: Embodiments access a digitized image of tissue demonstrating non-small cell lung cancer (NSCLC), the tissue including a plurality of cellular nuclei; segment the plurality of cellular nuclei represented in the digitized image; extract a set of nuclear radiomic features from the plurality of segmented cellular nuclei; generate at least one nuclear cell graph (CG) based on the plurality of segmented nuclei; compute a set of CG features based on the nuclear CG; provide the set of nuclear radiomic features and the set of CG features to a machine learning classifier; receive, from the machine learning classifier, a probability that the tissue will respond to immunotherapy, based, at least in part, on the set of nuclear radiomic features and the set of CG features; generate a classification of the tissue as a responder or non-responder based on the probability; and display the classification.
    Type: Grant
    Filed: February 21, 2019
    Date of Patent: July 6, 2021
    Assignees: Case Western Reserve University, The Cleveland Clinic Foundation
    Inventors: Anant Madabhushi, Xiangxue Wang, Cristian Barrera, Vamsidhar Velcheti
  • Patent number: 11049235
    Abstract: Embodiments are generally directed to techniques for extracting contextually structured data from document images, such as by automatically identifying document layout, document data, and/or document metadata in a document image, for instance. Many embodiments are particularly directed to generating and utilizing a document template database for automatically extracting document image contents into a contextually structured format. For example, the document template database may include a plurality of templates for identifying/explaining key data elements in various document image formats that can be used to extract contextually structured data from incoming document images with a matching document image format. Several embodiments are particularly directed to automatically identifying and associating document metadata with corresponding document data in a document image, such as for generating a machine-facilitated annotation of the document image.
    Type: Grant
    Filed: October 29, 2020
    Date of Patent: June 29, 2021
    Assignee: SAS INSTITUTE INC.
    Inventors: David James Wheaton, William Robert Nadolski, Heather Michelle GoodyKoontz
  • Patent number: 11042971
    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for medical imaging with distortion correction. One example includes obtaining distorted image data of a subject brain, the distorted image data comprising a time series of three-dimensional image tensors generated at least in part from an echo planar imaging session of the subject brain. A derived three-dimensional tensor is derived from the distorted image data. A non-rigid alignment function to non-rigidly align the derived three-dimensional tensor to a reference tensor is determined, producing a non-rigidly aligned derived 3D tensor. A rigid alignment function to rigidly align the non-rigidly aligned derived 3D tensor to the reference tensor is determined. Distortion-corrected image data is created by applying the rigid alignment function and the non-rigid alignment function to the time series of three-dimensional image tensors.
    Type: Grant
    Filed: August 13, 2020
    Date of Patent: June 22, 2021
    Assignee: Omniscient Neurotechnology Pty Limited
    Inventors: Michael Edward Sughrue, Stephane Philippe Doyen, Peter James Nicholas
  • Patent number: 11030750
    Abstract: Approaches for the automatic segmentation of magnetic resonance (MR) images. Machine learning models segment images to identify image features in consecutive frames at different levels of resolution. A neural network block is applied to groups of MR images to produce primary feature maps at two or more levels of resolution. The images in a given group of MR images may correspond to a cycle and have a temporal order. A second RNN block is applied to the primary feature maps to produce two or more output tensors at corresponding levels of resolution. A segmentation block is applied to the two or more output tensors to produce a probability map for the MR images. The first neural network block may be a convolutional neural network (CNN) block. The second neural network block may be a convolutional long short-term (LSTM) block.
    Type: Grant
    Filed: May 30, 2019
    Date of Patent: June 8, 2021
    Assignees: Merck Sharp & Dohme Corp., MSD International GmbH
    Inventors: Antong Chen, Dongqing Zhang, Ilknur Icke, Belma Dogdas, Sarayu Parimal
  • Patent number: 11030777
    Abstract: Lifting is a transform designed for color compression of point clouds which is adopted in one of the MPEG test models. The performance of lifting is improved herein. All the lifting coefficients are first divided into several subbands based on their assigned weights, which indicate the level of importance of each coefficient. Then, for each subband, a set of three dead-zones are derived for the three color components. The dead-zones of Cb and Cr channels are typically larger than that of Luma channel. In the original lifting scheme, Chroma is not suppressed at all. In contrast, as described herein, the size of the dead-zone is increased for different color components, which means that more quality (and bandwidth) is able to be adaptively provided for luminance coefficients than chrominance coefficients.
    Type: Grant
    Filed: February 4, 2019
    Date of Patent: June 8, 2021
    Assignee: Sony Group Corporation
    Inventors: Danillo Graziosi, Arash Vosoughi
  • Patent number: 11030466
    Abstract: A license plate detection and recognition system receives training data comprising images of license plates. The system prepares ground truth data from the training data based predefined parameters. The system trains a first machine learning algorithm based on the ground truth data to generate a license plate detection model. The license plate detection model is configured to detect one or more regions in the images. The one or more regions contains a candidate for a license plate. The LPDR system generates a bounding box for each region. The LPDR system trains a second machine learning algorithm based on the ground truth data and the license plate detection model to generate a license plate recognition model. The license plate recognition model generates a sequence of alphanumeric characters with a level of recognition confidence for the sequence.
    Type: Grant
    Filed: February 11, 2019
    Date of Patent: June 8, 2021
    Assignee: Nortek Security & Control LLC
    Inventors: Ilya Popov, Dmitry Yashunin, Semen Budenkov, Krishna Khadloya
  • Patent number: 11023757
    Abstract: Provided is a liveness verification method and device. A liveness verification device acquires a first image and a second image, and select one or more liveness models based on respective analyses of the first image and the second image, including analyses based on an object part being detected in the first image and/or the second image, and to verify, using the selected one or more liveness models, a liveness of the object based on the first image and/or the second image. The first image may be a color image and the second image may be an Infrared image.
    Type: Grant
    Filed: February 6, 2019
    Date of Patent: June 1, 2021
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: SungUn Park, Hyeongwook Yang, Tushar Balasaheb Sandhan, Jiaqian Yu, Jingtao Xu, Youngjun Kwak, Juwoan Yoo, Jae Joon Han
  • Patent number: 11017593
    Abstract: A system for advanced vector editing, comprising a routing calculation server and a rendering engine. The routing calculation server calculates a radius around a visual cursor associated with a raster image; determines a three-dimensional location at the cursor from the raster image; determines a three-dimensional path using epipolar geometry; and recalculates a vector path through the cursor location according to the three-dimensional path.
    Type: Grant
    Filed: March 5, 2019
    Date of Patent: May 25, 2021
    Assignee: DIGITALGLOBE, INC.
    Inventors: Jacek Grodecki, Josh Nolting
  • Patent number: 11017225
    Abstract: An image synthesizing apparatus includes an illuminating device that outputs linearly polarized light having a first polarization direction and linearly polarized light having a second polarization direction, a camera that captures an image in a third polarization direction including a plurality of pixels and an image in a fourth polarization direction including a plurality of pixels, and a control circuit that synthesizes, on a pixel-by-pixel basis, the image in the third polarization direction and the image in the fourth polarization direction into an authentication image for iris authentication. The first, the second, the third and the fourth polarization directions are different from one another. The camera acquires the image in the third polarization direction using the linearly polarized light in the first polarization direction and acquires the image in the fourth polarization direction using the linearly polarized light in the second polarization direction.
    Type: Grant
    Filed: February 14, 2019
    Date of Patent: May 25, 2021
    Assignee: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.
    Inventor: Katsuhiro Kanamori