Patents Examined by Jon Chang
  • Patent number: 10733475
    Abstract: Various embodiments of the present invention relate generally to systems and processes for artificially rendering images using interpolation of tracked control points. According to particular embodiments, a set of control points is tracked between a first frame and a second frame, where the first frame includes a first image captured from a first location and the second frame includes a second image captured from a second location. An artificially rendered image corresponding to a third location is then generated by interpolating individual control points for the third location using the set of control points and interpolating pixel locations using the individual control points. The individual control points are used to transform image data.
    Type: Grant
    Filed: March 26, 2018
    Date of Patent: August 4, 2020
    Assignee: Fyusion, Inc.
    Inventors: Stefan Johannes Josef Holzer, Stephen David Miller, Martin Saelzle, Radu Bogdan Rusu
  • Patent number: 10725512
    Abstract: A CPU needs to perform reset operation when a secondary arithmetic processing unit controlled by the CPU controls a signal processing circuit. CPU A controls module A. CPU B controls module B. Module A and module B control a signal processing circuit. CPU A and CPU B issue a reset request to the signal processing circuit. The signal processing circuit performs a reset process based on the reset request accepted from the CPU and a control origin identification signal that identifies a CPU as an origin of controlling the module having started a signal processing section.
    Type: Grant
    Filed: December 29, 2017
    Date of Patent: July 28, 2020
    Assignee: RENESAS ELECTRONICS CORPORATION
    Inventors: Hiroshi Ueda, Ryoji Hashimoto, Taku Maekawa, Katsushige Matsubara, Keisuke Matsumoto
  • Patent number: 10719733
    Abstract: Various embodiments of the present invention relate generally to systems and processes for artificially rendering images using interpolation of tracked control points. According to particular embodiments, a set of control points is tracked between a first frame and a second frame, where the first frame includes a first image captured from a first location and the second frame includes a second image captured from a second location. An artificially rendered image corresponding to a third location is then generated by interpolating individual control points for the third location using the set of control points and interpolating pixel locations using the individual control points. The individual control points are used to transform image data.
    Type: Grant
    Filed: March 26, 2018
    Date of Patent: July 21, 2020
    Assignee: Fyusion, Inc.
    Inventors: Stefan Johannes Josef Holzer, Stephen David Miller, Martin Saelzle, Radu Bogdan Rusu
  • Patent number: 10719732
    Abstract: Various embodiments of the present invention relate generally to systems and processes for artificially rendering images using interpolation of tracked control points. According to particular embodiments, a set of control points is tracked between a first frame and a second frame, where the first frame includes a first image captured from a first location and the second frame includes a second image captured from a second location. An artificially rendered image corresponding to a third location is then generated by interpolating individual control points for the third location using the set of control points and interpolating pixel locations using the individual control points. The individual control points are used to transform image data.
    Type: Grant
    Filed: March 26, 2018
    Date of Patent: July 21, 2020
    Assignee: Fyusion, Inc.
    Inventors: Stefan Johannes Josef Holzer, Stephen David Miller, Martin Saelzle, Radu Bogdan Rusu
  • Patent number: 10706277
    Abstract: The present disclosure describes methods and systems for handling personal identifiable information. In some implementations, the information is collected during the authentication of identification (ID) documents. The system includes a one-way hashing function that converts unique personal identifiable information into a unique digest. The system can store the digest without having to store the personal identifiable information. Because the hashing function generates the same digest when given the same input, the digests can be used as anonymized identifiers in place of the personal identifiable information.
    Type: Grant
    Filed: February 19, 2019
    Date of Patent: July 7, 2020
    Assignee: Facebook, Inc.
    Inventor: Raphael A. Rodriguez
  • Patent number: 10702745
    Abstract: A mechanism is described for facilitating smart monitoring of body dimensions according to one embodiment. A method of embodiments, as described herein, includes receiving a first request to take a first picture of a user, wherein the first picture is taken at a first point in time using a depth-sensing camera; automatically computing first body dimensions relating to a body of the user based on at least one of a first image of the body and first depth information relating to one or more parts of the body, wherein the first image and the first depth information are obtained from the first picture; generate a first three-dimensional (3D) model of the body based on the first body dimensions; and communicating at least one of the first 3D model and the first body dimensions to a display device, wherein the display device to display at least one of the first 3D model and the first body dimensions.
    Type: Grant
    Filed: January 30, 2018
    Date of Patent: July 7, 2020
    Assignee: INTEL CORPORATION
    Inventors: Venkata Siva Varun Kumar Nandimandalam, Jim Santiago Baca, Neal P. Smith, David W. Baker
  • Patent number: 10692200
    Abstract: A method can include generating a feature vector based on image data and soil data, the image data of an image of the geographical region produced by an aerial vehicle, the image data representative of an attribute of the attributes of the soil or foliage, and the soil data indicating physical characteristics of soil of cells within the geographical region, producing a matrix including entries indicating how similar the cells are in terms of the image data and the soil data based on the feature vector, and producing based on the matrix, data indicating a cluster of clusters to which each cell of the cells belongs, each cell more similar to other cells of the cluster to which they belong than cells of other clusters, each cluster indicating a location at which to situate a sensor of the sensors to monitor the attribute.
    Type: Grant
    Filed: April 25, 2018
    Date of Patent: June 23, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Michael Grant, Ranveer Chandra
  • Patent number: 10685229
    Abstract: Systems and methods for image based localization for unmanned aerial vehicles (UAVs) are disclosed. In one embodiment, a method for navigating a UAV includes: flying a UAV along a flight path; acquiring an image of a ground area along the flight path with a camera carried by the UAV; and sending the image to a base station. The method further includes receiving navigation data from the base station, based upon a comparison of the image of the ground area to at least one terrestrial map of the flight path.
    Type: Grant
    Filed: April 25, 2018
    Date of Patent: June 16, 2020
    Assignee: Wing Aviation LLC
    Inventors: Dinuka Abeywardena, Damien Jourdan
  • Patent number: 10685253
    Abstract: Techniques for automatically determining, on a pixel by pixel basis, whether imagery includes ground images or is obscured by cloud cover. The techniques include training a Neural Network, making an initial determination of cloud or ground by using the Neural Network, and performing a max-flow, min-cut operation on the image to determine whether each pixel is a cloud or ground imagery.
    Type: Grant
    Filed: September 24, 2018
    Date of Patent: June 16, 2020
    Assignee: DigitalGlobe, Inc.
    Inventor: Michael Aschenbeck
  • Patent number: 10671662
    Abstract: A method for analyzing an image of a real object, generated by at least one camera includes the following steps: generating at least a first image by the camera capturing at least one real object, defining a first search domain comprising multiple data sets of the real object, each of the data sets being indicative of a respective portion of the real object, and analyzing at least one characteristic property of the first image with respect to the first search domain, in order to determine whether the at least one characteristic property corresponds to information of at least a particular one of the data sets of the first search domain. If it is determined that the at least one characteristic property corresponds to information of at least a particular one of the data sets, a second search domain comprising only the particular one of the data sets is defined and the second search domain is used for analyzing the first image and/or at least a second image.
    Type: Grant
    Filed: March 13, 2018
    Date of Patent: June 2, 2020
    Assignee: Apple Inc.
    Inventors: Sebastian Lieberknecht, Peter Meier
  • Patent number: 10672135
    Abstract: The invention relates to a device for processing CT imaging data, comprising a processing unit, which is configured to receive a plurality of sets of CT imaging data recorded at different imaging positions and at different points in time. Furthermore, the processing device is configured to provide a plurality of auxiliary sets of CT imaging data, each auxiliary set of CT imaging data comprising processed image data allocated to spatial positions inside a respective spatial section of the object space, wherein a given one of the spatial sections contains those spatial positions which are covered by those sets of CT imaging data acquired at a respective one of the imaging positions, and to generate the processed image data for a given spatial position using those of the sets of CT imaging data acquired at the respective one of the imaging positions.
    Type: Grant
    Filed: June 30, 2016
    Date of Patent: June 2, 2020
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventors: Heike Carolus, Sven Kabus, Tobias Klinder, Holger Schmitt
  • Patent number: 10653381
    Abstract: The disclosure herein provides methods, systems, and devices for tracking motion of a patient or object of interest during biomedical imaging and for compensating for that motion in the biomedical imaging scanner and/or the resulting images to reduce or eliminate motion artifacts. In an embodiment, a motion tracking system is configured to overlay tracking data over biomedical imaging data in order to display the tracking data along with its associated image data. In an embodiment, a motion tracking system is configured to overlay tracking data over biomedical imaging data in order to display the tracking data along with its associated image data. In an embodiment, one or more detectors are configured to detect images of a patient, and a detector processing interface is configured to analyze the images to estimate motion or movement of the patient and to generate tracking data describing the patient's motion.
    Type: Grant
    Filed: September 6, 2017
    Date of Patent: May 19, 2020
    Assignees: Kineticor, Inc., The University of Hawaii, The Queen's Medical Center
    Inventors: Jeffrey N. Yu, Thomas Michael Ernst
  • Patent number: 10657425
    Abstract: Light-field data is masked to identify regions of interest, before applying to deep learning models. In one approach, a light-field camera captures a light-field image of an object to be classified. The light-field image includes a plurality of views of the object taken simultaneously from different viewpoints. The light-field image is pre-processed, with the resulting data provided as input to a deep learning model. The pre-processing includes determining and then applying masks to select regions of interest within the light-field data. In this way, less relevant data can be excluded from the deep learning model. Based on the masked data, the deep learning model produces a decision classifying the object.
    Type: Grant
    Filed: March 9, 2018
    Date of Patent: May 19, 2020
    Assignee: Ricoh Company, Ltd.
    Inventors: Manuel Martinello, Leonidas Spinoulas
  • Patent number: 10650513
    Abstract: An image generation method is described, comprising obtaining a plurality of 2D images through an object to be imaged, obtaining a 3D image data set of the object to be imaged, and registering the 2D images with the 3D image data set. The method then further includes defining an image reconstruction plane internal to the object, being the plane of an image to be reconstructed from the plurality of 2D images. Then, for a pixel in the image reconstruction plane, corresponding pixel values from the plurality of 2D images are mapped thereto, and the mapped pixel values are combined into a single value to give a value for the pixel in the image reconstruction plane. Another aspect of the method provides for clutter removal from the image. In a medical imaging context this can provide for “de-boned” images, allowing soft tissue to be more clearly seen.
    Type: Grant
    Filed: August 21, 2017
    Date of Patent: May 12, 2020
    Assignee: Cydar Limited
    Inventors: Graeme Penney, Tom Carrell, Mazen Alhrishy
  • Patent number: 10635844
    Abstract: Synthetic object detection data is generated for a modeled sensor, such as a camera. Scenario data specifying objects, such as vehicles, sensor intrinsics, such as focal length, principal point, and image size, and sensor extrinsics, such location and orientation in the scenario of the sensor, may be received. An object detector model may detect a given object in the scenario if it lies within the sensor's field of view, is large enough, and is not occluded. Two dimensional (2D) image plane position and velocity measurements may be generated. A measurement noise model may add noise to the measurements. Position, velocity, and measurement noise may be mapped into a three dimensional (3D) world coordinate system. An object detection list that includes time of detection, detected position and velocity, measurement accuracy, and an object classification for detected objects may be output.
    Type: Grant
    Filed: February 27, 2018
    Date of Patent: April 28, 2020
    Assignee: The MathWorks, Inc.
    Inventors: Trevor Roose, Vincent M. Pellissier, Witold R. Jachimczyk, Zheng Wu, Elad Kivelevitch, Gregory E. Dionne
  • Patent number: 10635921
    Abstract: A container for providing an enclosure for a food item includes a plurality of grading marks and a docking station to dock an electronic device. Yet further, the system includes a processor configured to take one or more pictures of the food item (104) using the electronic device (110), transmit the one or more pictures to a cloud (202), receive recommended recipes for the food item (104) and display the recommended recipes.
    Type: Grant
    Filed: August 14, 2015
    Date of Patent: April 28, 2020
    Assignee: KENWOOD LIMITED
    Inventors: Paul Palmer, Gilman Grundy
  • Patent number: 10628930
    Abstract: This invention provides a system and method for fusing and synthesizing a plurality of medical images defined by a plurality of imaging parameters allowing visual enhancements of each image data set to be combined. The system provides an image fusion process/processor that fuses a plurality of magnetic resonance imaging datasets. A first image dataset of the datasets is defined by apparent diffusion coefficient (ADC) values. A second image dataset of the MRI datasets is defined by at least one parameter other than the ADC values. The image fusion processor generates a fused response image that visually displays a combination of image features generated by the ADC values combined with image features generated by the at least one parameter other than the ADC values. The fused response image can illustratively include at least one of color-enhanced regions of interest and intensity-enhanced regions of interest.
    Type: Grant
    Filed: May 12, 2016
    Date of Patent: April 21, 2020
    Assignee: KONINKLIJKE PHILIPS N.V.
    Inventor: Senthil Periaswamy
  • Patent number: 10628702
    Abstract: A template image of a form document is processed to identify alignment regions used to match a query image to the template image and processing regions to identify areas from which information is to be extracted. Processing of the template image includes the identification of a set of meaningful template vectors. A query image is processed to determine meaningful query vectors. The meaningful template vectors are compared with the meaningful query vectors to determine whether the format of the template and query images match. Upon achievement of a match, a homography between the images is determined. In the event a homography threshold has been met, information is extracted from the query image.
    Type: Grant
    Filed: September 27, 2017
    Date of Patent: April 21, 2020
    Inventors: Candice R. Gerstner, Katelyn J. Meixner
  • Patent number: 10629305
    Abstract: Apparatus, systems, and methods for computer-aided detection are disclosed and described. An example apparatus includes at least one processor and a memory. The example memory includes instructions which, when executed, cause the at least one processor to at least: associate first patient data and first outcome data according to a set of association rules; train a processing model using machine learning and the associated first patient data and first outcome data; generate a computer-aided decision processing algorithm using the processing model; update the computer-aided decision processing algorithm based on at least one of second patient data or second outcome data received from a cloud infrastructure; and deploy the updated computer-aided decision processing algorithm to be applied to third patient data.
    Type: Grant
    Filed: November 9, 2017
    Date of Patent: April 21, 2020
    Assignee: General Electric Company
    Inventors: Serge Muller, Axel Crasemann, Marco Blumenthal, Sylvain Bernard, Razvan Iordache
  • Patent number: 10617310
    Abstract: The present technology relates to an information processing device and an information processing method for enabling continuous measurement of information in a body. The information processing device includes a light emitting unit that emits light of a predetermined wavelength, an imaging unit that captures reflected light from an object, an analysis unit that analyzes an image captured by the imaging unit, a storage unit that stores an analysis result analyzed by the analysis unit, a communication unit that transmits the analysis result stored in the storage unit to another device, and a battery unit that generates and stores power to supply electric power to each unit, and the information processing device is embedded in a body to operate. The light emitting unit emits beams of light of different wavelengths.
    Type: Grant
    Filed: July 22, 2016
    Date of Patent: April 14, 2020
    Assignee: SONY SEMICONDUCTOR SOLUTIONS CORPORATION
    Inventors: Yuya Amagasa, Kazuo Kumano