Patents Examined by Stephen M. Brinich
  • Patent number: 11017221
    Abstract: A classifier receives a document from a multi-document transaction. The classifier analyzes the document to identify one or more embedded dates in the content of the document and context of one or more positions of the one or more embedded dates in the document. The classifier evaluates each of the one or more embedded dates based on the separate context of each of the one or more positions within the document and a relative age of the one or more embedded dates in view of temporal characteristics of multiple categories of documents of a transaction to select a particular category associated with the document from among the multiple categories. The classifier classifies the document within the transaction as a particular logical type identified by the particular category from among multiple logical types.
    Type: Grant
    Filed: July 1, 2018
    Date of Patent: May 25, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Andrew R. Freed, Corville O. Allen
  • Patent number: 11010624
    Abstract: The traffic signal recognition device includes a traffic signal recognition unit configured to perform processing for recognizing the traffic signal based on the result of imaging performed by a camera, an external situation recognition unit configured to recognize a size and position of a surrounding vehicle, and a occluded situation determination unit configured to determine whether or not the area in front of a host vehicle is in the traffic signal occluded situation, in which the line of sight from the camera to the traffic signal is blocked by the surrounding vehicle. The traffic signal recognition unit is configured not to perform the processing for recognizing the traffic signal within a difficulty zone and not to perform the processing for recognizing the traffic signal if it is determined that the area in front of the host vehicle is in the traffic signal occluded situation.
    Type: Grant
    Filed: December 18, 2018
    Date of Patent: May 18, 2021
    Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventors: Yusuke Hayashi, Nobuhide Kamata
  • Patent number: 11010639
    Abstract: An angularly-dependent reflectance of a surface of an object is measured. Images are collected by a sensor at different sensor geometries and different light-source geometries. A point cloud is generated. The point cloud includes a location of a point, spectral band intensity values for the point, an azimuth and an elevation of the sensor, and an azimuth and an elevation of a light source. Raw pixel intensities of the object and surroundings of the object are converted to a surface reflectance of the object using specular array calibration (SPARC) targets. A three-dimensional (3D) location of each point in the point cloud is projected back to each image using metadata from the plurality of images, and spectral band values are assigned to each value in the point cloud, thereby resulting in a multi-angle spectral reflectance data set.
    Type: Grant
    Filed: February 19, 2019
    Date of Patent: May 18, 2021
    Assignee: Raytheon Company
    Inventors: John J. Coogan, Stephen J. Schiller
  • Patent number: 11003889
    Abstract: A classifier receives a document and analyzes the document to determine one or more predicted roles of one or more signatories, each predicted role determined based on one or more signature elements in the content of the document executed by the one or more signatories. The classifier evaluates each of the one or more predicted roles in view of a plurality of expected signatory role characteristics of a plurality of categories of documents of a transaction to select a particular category associated with the document from among the plurality of categories. The classifier classifies the document within the transaction as a particular logical type identified by the particular category from among a plurality of logical types for the transaction.
    Type: Grant
    Filed: October 22, 2018
    Date of Patent: May 11, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Andrew R. Freed, Corville O. Allen
  • Patent number: 10977818
    Abstract: A method for deriving an image sensor's 3D pose estimate from a 2D scene image input includes at least one Machine Learning algorithm trained a priori to generate a 3D depth map estimate from the 2D image input, which is used in conjunction with physical attributes of the source imaging device to make an accurate estimate of the imaging device 3D location and orientation relative to the 3D content of the imaged scene. The system may optionally employ additional Machine Learning algorithms to recognize objects within the scene to further infer contextual information about the scene, such as the image sensor pose estimate relative to the floor plane or the gravity vector. The resultant refined imaging device localization data can be applied to static (picture) or dynamic (video), 2D or 3D images, and is useful in many applications, most specifically for the purposes of improving the realism and accuracy of primarily static, but also dynamic Augmented Reality (AR) applications.
    Type: Grant
    Filed: February 23, 2018
    Date of Patent: April 13, 2021
    Assignee: Manor Financial, Inc.
    Inventors: Taylor Clark, Andrew Kemendo, Mark Shanks
  • Patent number: 10977765
    Abstract: One or more neural networks generate a first vector field from an input image and a reference image. The first vector field is applied to the input image to generate a first warped image. The training of the neural networks is evaluated via one or more objective functions. The neural networks are updated in response to the evaluating. The neural networks generate a second vector field from the input image and the reference image. A number of degrees of freedom in the first vector field is less than a number of degrees of freedom in the second vector field. The second vector field is applied to the input image to generate a second warped image. The neural networks are evaluated via the one or more objective functions, the reference image and the second warped image. The networks are updated in response to the evaluating.
    Type: Grant
    Filed: April 10, 2019
    Date of Patent: April 13, 2021
    Assignee: Eagle Technology, LLC
    Inventors: Derek J. Walvoord, Doug W. Couwenhoven
  • Patent number: 10977558
    Abstract: In a method and apparatus for training a computer system for use in classification of an image by processing image data representing the image, image data are compressed and then loaded into a programmable quantum annealing device that includes a Restricted Boltzmann Machine. The Restricted Boltzmann Machine is trained to act as a classifier of image data, thereby providing a trained Restricted Boltzmann Machine; and, the trained Restricted Boltzmann Machine is used to initialize a neural network for image classification thereby providing a trained computer system for use in classification of an image.
    Type: Grant
    Filed: February 1, 2019
    Date of Patent: April 13, 2021
    Assignee: Siemens Healthcare GmbH
    Inventors: Mark Herbster, Peter Mountney, Sebastien Piat, Simone Severini
  • Patent number: 10970849
    Abstract: According to one implementation, a pose estimation and body tracking system includes a computing platform having a hardware processor and a system memory storing a software code including a tracking module trained to track motions. The software code receives a series of images of motion by a subject, and for each image, uses the tracking module to determine locations corresponding respectively to two-dimensional (2D) skeletal landmarks of the subject based on constraints imposed by features of a hierarchical skeleton model intersecting at each 2D skeletal landmark. The software code further uses the tracking module to infer joint angles of the subject based on the locations and determine a three-dimensional (3D) pose of the subject based on the locations and the joint angles, resulting in a series of 3D poses. The software code outputs a tracking image corresponding to the motion by the subject based on the series of 3D poses.
    Type: Grant
    Filed: April 16, 2019
    Date of Patent: April 6, 2021
    Assignees: Disney Enterprises, Inc., ETH Zürich (EIDGENÖSSISCHE TECHNISCHE HOCHSCHULE ZÜRICH)
    Inventors: Ahmet Cengiz Öztireli, Prashanth Chandran, Markus Gross
  • Patent number: 10970847
    Abstract: Techniques are disclosed for document boundary detection (BD) from an input image using a combination of deep learning model and image processing algorithms. Quadrilaterals approximating the document boundaries in the input image are determined and rated separately using both these approaches: deep leaning using convolutional neural network (CNN) and heuristics using image processing algorithms. Thereafter, the best rated quadrilateral is selected from the quadrilaterals obtained from both the approaches.
    Type: Grant
    Filed: May 16, 2019
    Date of Patent: April 6, 2021
    Assignee: Adobe Inc.
    Inventors: Prasenjit Mondal, Anuj Shara, Ankit Bal, Deepanshu Arora, Siddharth Kumar
  • Patent number: 10965957
    Abstract: Introduced here is a technique to create small compressed image files while preserving data quality upon decompression. Upon receiving an uncompressed data, such as an image, a video, an audio, and/or a structured data, a machine learning model identifies an object in the uncompressed data such as a house, a dog, a text, a distinct audio signal, a unique data pattern, etc. The identified object is compressed using a compression treatment optimized for the identified object. The identified object, either before or after the compression, is removed from the uncompressed data. The uncompressed data with the identified object removed is compressed using a standard compression treatment.
    Type: Grant
    Filed: September 4, 2019
    Date of Patent: March 30, 2021
    Assignee: Groq, Inc.
    Inventor: Jonathan Alexander Ross
  • Patent number: 10957566
    Abstract: A system and method for wafer-level inspection using on-valve inspection detectors to detect defects on a semiconductor wafer surfaces during a semiconductor device manufacturing process is disclosed herein. In some exemplary embodiments, a method for wafer-level inspection includes: transporting a semiconductor wafer through a transfer port of a processing chamber; scanning a surface of the semiconductor wafer automatically using at least one on-valve inspection detector arranged on a vacuum valve providing access through the transfer port; generating at least one surface image of the surface of the semiconductor wafer; and analyzing the at least one surface image to detect defects on the surface of the semiconductor wafer.
    Type: Grant
    Filed: April 12, 2018
    Date of Patent: March 23, 2021
    Assignee: Taiwan Semiconductor Manufacturing Co., Ltd.
    Inventors: Mu-Lung Che, Fu Chiang Hsu
  • Patent number: 10950006
    Abstract: Various systems and methods for generating environmentally contextualized patterns are disclosed. The system and method generates the environmentally contextualized pattern from a set of images representing an environment. The color palette of the dominant colors from the representational images is processed to remove the gray hues, set the remaining highest and lowest value hues to a particular contrast, and then determine a split complement from the lowest value hue. An algorithm, such as a reaction-diffusion algorithm, is then utilized to generate a pattern incorporating the aforementioned hues. The pattern generated by the algorithm provides a high degree of visual contrast with the environment that the images represent, allowing an individual wearing the pattern to be readily visually identifiable against the environment.
    Type: Grant
    Filed: May 15, 2018
    Date of Patent: March 16, 2021
    Inventor: Katherine A. McLean
  • Patent number: 10949682
    Abstract: A method for ascertaining a piece of topological information of an intersection, including locating a vehicle with lane accuracy when negotiating the intersection; ascertaining data by the vehicle when negotiating the intersection; transmitting the data to a processing unit; and ascertaining a connectivity of lane-roadway combinations of the intersection from the data with the aid of the processing unit.
    Type: Grant
    Filed: February 26, 2019
    Date of Patent: March 16, 2021
    Assignee: Robert Bosch GmbH
    Inventor: Philip Wette
  • Patent number: 10937166
    Abstract: A method for structured text detection includes: receiving, by a convolutional neural network, a to-be-detected image and at least one character region template, the to-be-detected image includes structured text, the at least one character region template includes locations of N first character regions with N being an integer equal to or greater than 1, and the location of each first character region is obtained based on locations of second character regions corresponding to the each first character region in M sample images that are of the same type as the to-be-detected image, where M is an integer equal to or greater than 1; and obtaining, by the convolutional neural network, an actual location of the structured text in the to-be-detected image according to the at least one character region template. A system for structured detection and a non-transitory computer-readable medium are also provided.
    Type: Grant
    Filed: August 1, 2018
    Date of Patent: March 2, 2021
    Assignee: BEIJING SENSETIME TECHNOLOGY DEVELOPMENT CO., LTD.
    Inventors: Donglai Xiang, Yan Xia
  • Patent number: 10922801
    Abstract: Systems and methods for generating a binary image from a color image are disclosed. A method includes: acquiring a color image; generating a first grayscale image from a first color channel in the color image and a second grayscale image from a second color channel in the color image; and generating a binary image using at least the first grayscale image and the second grayscale image.
    Type: Grant
    Filed: July 19, 2017
    Date of Patent: February 16, 2021
    Assignee: Lockheed Martin Corporation
    Inventor: Chadwick M. Coleman
  • Patent number: 10921409
    Abstract: A magnetic resonance imaging apparatus according to an embodiment includes a display, an input interface, and processing circuitry. The display displays at least a locator image and a reference image. The input interface sets a region of interest on the locator image displayed on the display. The processing circuitry scans a subject to obtain three dimensional data, generates a locator image from the three dimensional data and displaying the locator image on the display, generates a reference image corresponding to the location of the region of interest from the three dimensional data and displaying the reference image on the display, and makes, when a size or position of the region of interest on one of the locator image and the reference image is changed by the input interface, adjustments to correspondingly change the display magnification or position of the other one of the locator image and the reference image.
    Type: Grant
    Filed: November 28, 2017
    Date of Patent: February 16, 2021
    Assignee: CANON MEDICAL SYSTEMS CORPORATION
    Inventors: Ye Liu, Bin Fu, Bing Li, Jinbiao Zhang, Xiaofei Sun
  • Patent number: 10909969
    Abstract: Domain-specific language understanding models that may be built, tested and improved quickly and efficiently are provided. Methods, systems and devices are provided that enable a developer to build user intent detection models, language entity extraction models, and language entity resolution models quickly and without specialized machine learning knowledge. These models may be built and implemented via single model systems that enable the models to be built in isolation or in an end-to-end pipeline system that enables the models to be built and improved in a simultaneous manner.
    Type: Grant
    Filed: September 25, 2019
    Date of Patent: February 2, 2021
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Jason Douglas Williams, Nobal Bikram Niraula, Pradeep Dasigi, Aparna Lakshmiratan, Geoffrey G. Zweig, Andrey Kolobov, Carlos Garcia Jurado Suarez, David Maxwell Chickering
  • Patent number: 10874361
    Abstract: Aspects of the invention are directed to systems and methods for generating spectral computed tomography data for spectral X-ray image reconstruction using of pixelated k-edge apertures. A method is provided for generating a spectral computed tomography. The method includes the steps of generating a plurality of X-ray beams; encoding the plurality of X-ray beams by transmitting the plurality of beams through a pixelated K-edge coded aperture structure; detecting the encoded plurality of X-ray beams; and reconstructing a spectral CT image from the encoded plurality of X-ray beams.
    Type: Grant
    Filed: December 11, 2018
    Date of Patent: December 29, 2020
    Assignee: University Of Delaware
    Inventors: Angela Cuadros, Gonzalo Arce
  • Patent number: 10878268
    Abstract: In the case where a character on an object is read by using a mobile terminal having a camera function, an image suitable to OCR is acquired in a short time. An information processing apparatus including a camera, which acquires a moving image by capturing a character string on an object by the camera, sets, for each frame making up the acquired moving image, a search area for character recognition for each character making up the character string, detects a candidate character from the search area, determines whether an evaluation value indicating likelihood of the detected candidate character is stable, and outputs a frame of the acquired moving image in response to the evaluation value is determined to be stable.
    Type: Grant
    Filed: March 23, 2018
    Date of Patent: December 29, 2020
    Assignee: CANON KABUSHIKI KAISHA
    Inventor: Katsuhiro Wada
  • Patent number: 10867417
    Abstract: Systems, computer-implemented methods, and computer readable media for generating a synthetic image of an anatomical portion based on an origin image of the anatomical portion acquired by an imaging device using a first imaging modality are disclosed. These systems may be configured to receive the origin image of the anatomical portion acquired by the imaging device using the first imaging modality, receive a convolutional neural network model trained for predicting the synthetic image based on the origin image, and convert the origin image to the synthetic image through the convolutional neural network model. The synthetic image may resemble an imaging of the anatomical portion using a second imaging modality differing from the first imaging modality.
    Type: Grant
    Filed: July 14, 2017
    Date of Patent: December 15, 2020
    Assignee: Elekta, Inc.
    Inventor: Xiao Han