Patents Examined by Yon J. Couso
  • Patent number: 10579900
    Abstract: The disclosure discloses a method and device for image recognition. The method comprises: placing instruction blocks in a required order; acquiring an encoded instruction block image that represents the instruction block pattern and the placement order; recognizing a single instruction block image from the encoded instruction block image; comparing the single instruction block image with a standard instruction block image to obtain the matching degree of the instruction block; determining, according to the matching degree, standard instruction blocks corresponding to respective instruction block images; sorting the instruction block images according to the coordinates in the encoded instruction block image; parsing the instruction block images according to the sorting order to obtain instructions. The method for image recognition can help children learning concepts such as manipulation, use and programming of intelligent programmable devices more easily.
    Type: Grant
    Filed: May 20, 2018
    Date of Patent: March 3, 2020
    Assignee: MATATALAB CO., LTD.
    Inventor: Rongxing Su
  • Patent number: 10580125
    Abstract: A method of quality inspection is performed by a robotic arm that includes a plurality of segments, a camera at an end of the robotic arm, and a plurality of joints connecting two segments of the plurality of segments. The method includes (i) inspecting, via the camera, a surface of a product with the camera positioned at a first position, (ii) based on the inspecting, identifying: (a) an area of interest on the surface of the product, and (b) a relative location of the area of interest on the surface, (iii) positioning, based on the relative location of the area of interest on the surface, the camera at a second position, and (iv) inspecting, via the camera, the area of interest on the surface of the product with the camera positioned at the second position. Inspecting the area of interest includes inspecting a subset of the surface of the product.
    Type: Grant
    Filed: March 5, 2019
    Date of Patent: March 3, 2020
    Assignee: MIDEA GROUP CO., LTD.
    Inventors: Dongyan Wang, Haisong Gu, Tao Liu
  • Patent number: 10579769
    Abstract: A method for detecting a design-impacting defect in an integrated circuit substrate is disclosed. In one implementation, a controller determines a distribution of intended geometric features in a design window of the integrated circuit substrate based on proximities of a plurality of points of interest in the design window to the intended geometric features. The controller obtains a set of intended contours from the distribution. The controller obtains a set of imaged contours from one or more images of the integrated circuit substrate. The controller compares the set of imaged contours to the set of intended contours to obtain a set of potential design-impacting defects in the intended geometric features. The controller determines a probability that a potential design-impacting defect from the set of potential design-impacting defects is a valid design-impacting defect. The controller takes a corrective action based on the determined probability.
    Type: Grant
    Filed: December 1, 2017
    Date of Patent: March 3, 2020
    Assignee: APPLIED MATERIALS, INC.
    Inventors: Raman K. Nurani, Anantha R. Sethuraman, Koushik Ragavan
  • Patent number: 10573028
    Abstract: As set forth herein low energy signal data and high energy signal data can be acquired. A first material decomposed (MD) image of a first material basis and a second material decomposed (MD) image of a second material basis can be obtained using the low energy signal data and the high energy signal data. At least one of the first or second MD image can be input into a guide filter for output of at least one noise reduced and cross-contamination reduced image. A computed tomography (CT) imaging system can be provided that includes an X-ray source and a detector having a plurality of detector elements that detect X-ray beams emitted from the X-ray source. Low energy signal data and high energy signal data can be acquired using the detector.
    Type: Grant
    Filed: July 15, 2019
    Date of Patent: February 25, 2020
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Roshni Bhagalia, Debashish Pal
  • Patent number: 10572757
    Abstract: A system and method that gathers and labels images for use by a machine learning algorithm for image classification is disclosed. The method includes acquiring a preview image including a portion of a scene, generating a user interface including the preview image, performing object detection on the preview image to detect a set of items, adding, to the first preview image, a set of regions of interest based on the object detection, each region of interest highlighting a location of a corresponding item in the set of items, receiving an image corresponding to the preview image, determining an object identifier associated with an item, and labeling the item in the image using the object identifier and a region of interest corresponding to the item.
    Type: Grant
    Filed: March 9, 2018
    Date of Patent: February 25, 2020
    Assignee: Ricoh Co., Ltd.
    Inventors: Jamey Graham, Sri Kaushik Pavani
  • Patent number: 10565686
    Abstract: A method, computer readable medium, and system are disclosed for training a neural network. The method includes the steps of selecting an input sample from a set of training data that includes input samples and noisy target samples, where the input samples and the noisy target samples each correspond to a latent, clean target sample. The input sample is processed by a neural network model to produce an output and a noisy target sample is selected from the set of training data, where the noisy target samples have a distribution relative to the latent, clean target sample. The method also includes adjusting parameter values of the neural network model to reduce differences between the output and the noisy target sample.
    Type: Grant
    Filed: November 8, 2017
    Date of Patent: February 18, 2020
    Assignee: NVIDIA Corporation
    Inventors: Jaakko T. Lehtinen, Timo Oskari Aila, Jon Niklas Theodor Hasselgren, Carl Jacob Munkberg
  • Patent number: 10565740
    Abstract: Using an image capturing device, multiple images can be obtained at different angles with respect to a surface of a target coating. In one computer-implemented embodiment, a method involves using a filtering technique to perform an image analysis on the obtained images to determine the presence of sparkle points within the images. A color attribute analysis can then be performed to determine various color attributes associated with the determined sparkle point. A sparkle color distribution can then be calculated in response to the color attribute analysis. A coating formulation can then be generated, in association with the calculated sparkle color distribution, which is the same or substantially similar to the target coating.
    Type: Grant
    Filed: January 19, 2018
    Date of Patent: February 18, 2020
    Assignee: PPG Industries Ohio, Inc.
    Inventors: Paul M. Beymore, A'Lisa Marie Krawciw
  • Patent number: 10567729
    Abstract: According to an aspect of an embodiment, a method may include receiving, at a first interface element of a user interface, a first user input regarding a degree of stereoscopic depth rendered in a stereoscopic image. The method may also include adjusting the stereoscopic depth based on the first user input. Additionally, the method may include receiving, at a second interface element of the user interface, a second user input regarding adjustment of a z-plane position of the stereoscopic image and adjusting the z-plane position based on the second user input. The method may further include generating the stereoscopic image based on the adjustment of the stereoscopic depth and the adjustment of the z-plan position.
    Type: Grant
    Filed: August 11, 2017
    Date of Patent: February 18, 2020
    Assignee: BITANIMATE, INC.
    Inventors: Behrooz Maleki, Sarvenaz Sarkhosh
  • Patent number: 10548553
    Abstract: Presented herein are efficient and reliable systems and methods for calculating and extracting three-dimensional central axes of bones of animal subjects—for example, animal subjects scanned by in vivo or ex vivo microCT platforms—to capture both the general and localized tangential directions of the bone, along with its shape, form, curvature, and orientation. With bone detection and segmentation algorithms, the skeletal bones of animal subjects scanned by CT or microCT scanners can be detected, segmented, and visualized. Three dimensional central axes determined using these methods provide important information about the skeletal bones.
    Type: Grant
    Filed: October 10, 2018
    Date of Patent: February 4, 2020
    Assignee: PerkinElmer Health Sciences, Inc.
    Inventors: Ali Behrooz, Joshua Kempner
  • Patent number: 10536697
    Abstract: Provided is a re-encoding method including obtaining a first quantization table from a bitstream including an image encoded using the first quantization table; obtaining a second quantization table based on a pattern representing a size distribution of values of elements of the first quantization table, the second quantization table including elements respectively corresponding to the elements of the first quantization table; and re-encoding a reconstructed image by using the second quantization table, the reconstructed image being obtained by decoding the encoded image by using the first quantization table.
    Type: Grant
    Filed: December 29, 2014
    Date of Patent: January 14, 2020
    Assignee: Samsung Electronics Co., Ltd
    Inventors: Dai-woong Choi, Woong-il Choi, Dae-sung Cho
  • Patent number: 10529071
    Abstract: A facial skin mask may be generated based on isolating a head part in a captured image, removing a first pixel that is indicative of non-skin from the head part in the captured image, and removing a second pixel that is indicative of having a high velocity from the head part in the captured image. Heart rate may be detected based on the change of color of the pixels of the generated facial skin mask.
    Type: Grant
    Filed: July 16, 2018
    Date of Patent: January 7, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Beibei Cheng, Benjamin William Walker, Jonathan Ross Hoof, Daniel Kennett, Anis Ahmad
  • Patent number: 10528852
    Abstract: According to one embodiment, an information processing device includes a memory and a processor. The processor is configured to acquire an image, determine a likelihood of presence of an objected within the image, display information on a position of the object within the image based on the likelihood, identify the object within the image, and generate a recognition result based on the identified object.
    Type: Grant
    Filed: September 1, 2017
    Date of Patent: January 7, 2020
    Assignee: KABUSHIKI KAISHA TOSHIBA
    Inventors: Yojiro Tonouchi, Kazushige Ouchi, Hideo Umeki
  • Patent number: 10529061
    Abstract: Systems and methods of producing medical images of a subject are disclosed herein. In one embodiment, structural data and vascular data are acquired from a region of interest in the subject. A filter is generated using structural image data acquired from a second layer and blood flow image data received from a first layer in the region of interest. The filter is applied to vascular image data acquired from a second, deeper layer in the region of interest to form an image of the second layer having reduced tailing artifacts relative to the unfiltered vascular image data.
    Type: Grant
    Filed: August 12, 2016
    Date of Patent: January 7, 2020
    Assignee: University of Washington
    Inventors: Ruikang K. Wang, Anqi Zhang
  • Patent number: 10521661
    Abstract: Systems and methods for robust biometric applications using a detailed eye shape model are described. In one aspect, after receiving an eye image of an eye (e.g., from an eye-tracking camera on an augmented reality display device), an eye shape (e.g., upper or lower eyelids, an iris, or a pupil) of the eye in the eye image is calculated using cascaded shape regression methods. Eye features related to the estimated eye shape can then be determined and used in biometric applications, such as gaze estimation or biometric identification or authentication.
    Type: Grant
    Filed: September 1, 2017
    Date of Patent: December 31, 2019
    Assignee: Magic Leap, Inc.
    Inventors: Jixu Chen, Gholamreza Amayeh
  • Patent number: 10515290
    Abstract: Comparing extracted card data from a continuous scan comprises receiving, by one or more computing devices, a digital scan of a card; obtaining a plurality of images of the card from the digital scan of the physical card; performing an optical character recognition algorithm on each of the plurality of images; comparing results of the application of the optical character recognition algorithm for each of the plurality of images; determining if a configured threshold of the results for each of the plurality of images match each other; and verifying the results when the results for each of the plurality of images match each other. Threshold confidence level for the extracted card data can be employed to determine the accuracy of the extraction. Data is further extracted from blended images and three-dimensional models of the card. Embossed text and holograms in the images may be used to prevent fraud.
    Type: Grant
    Filed: August 16, 2017
    Date of Patent: December 24, 2019
    Assignee: GOOGLE LLC
    Inventors: Xiaohang Wang, Marcus Quintana Mitchell
  • Patent number: 10515272
    Abstract: A system and methods for muddy water detection using normalized semantic layers, wherein a spectrum analyzer isolates spectrum bands within an image to produce a set of three normalized differential index images from which a composite color image is created, from which a power band is computed, from which a two-color image is produced, and then filters image components within the two-color representation based on defined criteria.
    Type: Grant
    Filed: September 1, 2017
    Date of Patent: December 24, 2019
    Assignee: DigitalGlobe, Inc.
    Inventors: Georgios Ouzounis, Kostas Stamatiou
  • Patent number: 10509954
    Abstract: A system, article, and method of image segmentation refinement for image processing.
    Type: Grant
    Filed: February 10, 2016
    Date of Patent: December 17, 2019
    Assignee: Intel Corporation
    Inventor: Gilad Baruch
  • Patent number: 10504228
    Abstract: In an image processing system a processor is configured to perform an image processing method. The method performs receiving a spectral image of a person's skin and identifying the person based on the received spectral image of the person's skin and skin reflectance information.
    Type: Grant
    Filed: April 29, 2016
    Date of Patent: December 10, 2019
    Assignee: SONY CORPORATION
    Inventors: Alexander Gatto, Piergiorgio Sartor, Matthias Wilde, Ralf Mueller
  • Patent number: 10482681
    Abstract: Techniques are provided for segmentation of objects in a 3D image of a scene. An example method may include receiving, 3D image frames of a scene. Each of the frames is associated with a pose of a depth camera that generated the 3D image frames. The method may also include detecting the objects in each of the frames based on object recognition; associating a label with the detected object; calculating a 2D bounding box around the object; and calculating a 3D location of the center of the bounding box. The method may further include matching the detected object to an existing object boundary set, created from a previously received image frame, based on the label and the location of the center of the bounding box, or, if the match fails, creating a new object boundary set associated with the detected object.
    Type: Grant
    Filed: February 9, 2016
    Date of Patent: November 19, 2019
    Assignee: Intel Corporation
    Inventor: Gershom Kutliroff
  • Patent number: 10475174
    Abstract: A generative adversarial network (GAN) system includes a generator neural sub-network configured to receive one or more images depicting one or more objects. The generator neural sub-network also is configured to generate a foreground image and a background image based on the one or more images that are received, the generator neural sub-network configured to combine the foreground image with the background image to form a consolidated image. The GAN system also includes a discriminator neural sub-network configured to examine the consolidated image and determine whether the consolidated image depicts at least one of the objects. The generator neural sub-network is configured to one or more of provide the consolidated image or generate an additional image as a training image used to train another neural network to automatically identify the one or more objects in one or more other images.
    Type: Grant
    Filed: April 6, 2017
    Date of Patent: November 12, 2019
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Ser Nam Lim, David Diwinsky, Yen-Liang Lin, Xiao Bian