Patents Examined by Tsung-Yin Tsai
  • Patent number: 10853599
    Abstract: In a method for obtaining information from a coding body (1, 15), information is assigned to a three-dimensional form of at least one portion of the coding body (1, 15), at least one two-dimensional image of at least the portion of the coding body (1, 15) is generated, the form of the portion is identified on the basis of the image and the information that has been assigned to the identified form is accessed. A corresponding system comprises: at least one coding body (1, 15) having at least one portion with a three-dimensional form that has information assigned; at least one image-capture means (8, 19, 24) for generating two-dimensional images; and at least one processor (9, 21, 25) configured to identify the form of the portion on the basis of at least one two-dimensional image of at least the portion of the coding body (1, 15) and to access the information assigned to the identified form.
    Type: Grant
    Filed: April 19, 2016
    Date of Patent: December 1, 2020
    Inventor: Johann Lenz
  • Patent number: 10853921
    Abstract: A method and an apparatus are provided for sharpening an image, by an image processor of an electronic device. An input image is received. Low pass filtering is applied to the input image to generate a first image and a second image. A kernel size of first image and the second image are different. Edge preserving filtering is applied to the input image to generate a third image and a fourth image. A kernel size of the third image and the fourth image are different. The first image is subtracted from the third image to obtain a first resulting image. The first image has a larger kernel size than the third image. The second image from the fourth image to obtain a second resulting image. The second image has a larger kernel size than the fourth image. The first resultant image, the second resultant image, and the input image are summed to generate a sharpened image.
    Type: Grant
    Filed: March 22, 2019
    Date of Patent: December 1, 2020
    Inventors: Seongjun Park, Shuangquan Wang, Jungwon Lee
  • Patent number: 10846971
    Abstract: The present disclosure is directed to systems and methods for generating investigations of user behavior. In an example embodiment, the system includes a video camera configured to capture video of user activity, a video analytic module to perform real-time video processing of the captured video to generate non-video data from video, and a computer configured to receive the video and the non-video data from the video camera. The computer includes a video analytics module configured to analyze one of video and non-video data to identify occurrences of particular user behavior, and an investigation generation module configured to generate an investigation containing at least one video sequence of the particular user behavior. In some embodiments, the investigation is generated in near real time. The particular user behavior may be defined as an action, an inaction, a movement, a plurality of event occurrences, a temporal event and/or an externally-generated event.
    Type: Grant
    Filed: July 1, 2019
    Date of Patent: November 24, 2020
    Inventor: James Carey
  • Patent number: 10845184
    Abstract: A method of operating a dimensioning system to determine dimensional information for objects is disclosed. A number of images are acquired. Objects in at least one of the acquired images are computationally identified. One object represented in the at least one of the acquired images is computationally initially selected as a candidate for processing. An indication of the initially selected object is provided to a user. At least one user input indicative of an object selected for processing is received. Dimensional data for the object indicated by the received user input is computationally determined.
    Type: Grant
    Filed: October 5, 2018
    Date of Patent: November 24, 2020
    Inventors: Virginie Benos, Vincent Bessettes, Franck Laffargue
  • Patent number: 10846862
    Abstract: An image processing method includes: assigning a predetermined new label to the pixels determined to be assigned the label; and setting a position of the pixel assigned the label as a target position and assigning the label with the same value to peripheral pixels located around the pixel at the target position. A label update step repeats a peripheral pixel determination step, a label assignment step of assigning the label to the peripheral pixels, a target position movement step of moving a new target position that is a position of any one of the peripheral pixels assigned the label, and a return position storage step of, when there are a plurality of peripheral pixels assigned the label, storing positions of the peripheral pixels, other than the peripheral pixel at the new target position moved in the target position movement step, until there is no return position.
    Type: Grant
    Filed: April 16, 2019
    Date of Patent: November 24, 2020
    Inventor: Mitsutomo Kariya
  • Patent number: 10839680
    Abstract: A vehicle control device (100) comprising: a recognizer (130) recognizing surrounding situations of a vehicle; a setting unit (154) setting a virtual lane in an area inside a crossing that is present in an advancement direction of the vehicle on the basis of a recognition result acquired by the recognizer; and a driving controller (150, 160) controlling one or both of steering and acceleration/deceleration of the vehicle and causing the vehicle to run within the virtual lane and pass through the crossing in a case in which an object recognized by the recognizer is not present on the virtual lane, wherein, in a case in which an area inside the crossing has a width for which only one virtual lane is settable, the driving controller handles an oncoming vehicle recognized by the recognizer as an object present on the virtual lane.
    Type: Grant
    Filed: September 5, 2018
    Date of Patent: November 17, 2020
    Assignee: HONDA MOTOR CO., LTD.
    Inventors: Koji Kawabe, Hiroshi Miura, Makoto Ishikawa, Masamitsu Tsuchiya
  • Patent number: 10827945
    Abstract: Virtually every cancer patient is imaged with CT, PET or MRI. Importantly, such imaging reveals that tumors are complex and heterogeneous, often containing multiple habitats within them. Disclosed herein are methods for analyzing these images to infer cellular and molecular structure in each of these habitats. The methods can involve spatially superimposing two or more radiological images of the tumor sufficient to define regional habitat variations in two or more ecological dynamics in the tumor, and comparing the habitat variations to one or more controls to predict the severity of the tumor.
    Type: Grant
    Filed: March 10, 2015
    Date of Patent: November 10, 2020
    Inventors: Robert J. Gillies, Robert A. Gatenby, Natarajan Raghunand, John Arrington, Olya Stringfield, Yoganand Balagurunathan, Dmitry B. Goldgof, Lawrence O. Hall
  • Patent number: 10832437
    Abstract: A computer implemented method using artificial intelligence for matching images with locations and directions by acquiring a plurality of panoramic images, detecting objects and their locations in each of the panoramic images, acquiring a floorplan image, detecting objects and their locations in the floorplan image, comparing the objects and locations detect in each of the panoramic image to the objects and locations detected in the floorplan image, and determining a location in the floorplan image where each panoramic image was taken.
    Type: Grant
    Filed: September 5, 2018
    Date of Patent: November 10, 2020
    Assignee: RAKUTEN, INC.
    Inventors: Bjorn Stenger, Tomoyuki Mukasa, Jiu Xu, Lu Yan
  • Patent number: 10818016
    Abstract: Systems and methods for predictive/reconstructive visual object tracking are disclosed. The visual object tracking has advanced abilities to track objects in scenes, which can have a variety of applications as discussed in this disclosure. In some exemplary implementations, a visual system can comprise a plurality of associative memory units, wherein each associative memory unit has a plurality of layers. The associative memory units can be communicatively coupled to each other in a hierarchical structure, wherein data in associative memory units in higher levels of the hierarchical structure are more abstract than lower associative memory units. The associative memory units can communicate to one another supplying contextual data.
    Type: Grant
    Filed: March 19, 2019
    Date of Patent: October 27, 2020
    Assignee: Brain Corporation
    Inventors: Filip Piekniewski, Micah Richert, Dimitry Fisher, Patryk Laurent, Csaba Petre
  • Patent number: 10810406
    Abstract: A method for determining if a papillary print is comprised of living human tissue or not, using a papillary print sensor comprising in superposition, a contact surface, an array optical sensor, and a plurality of illuminating devices parallel between them. The method comprises illumination of the papillary print by the illuminating devices forming together, on the contact surface, a light pattern which is uniform along an axis that extends from one side to the other of a detecting surface of the array optical sensor, and acquisition of an image by the array optical sensor, with these steps being implemented at least once; in each image, selection of the pixels corresponding to the valleys or ridges of the print; and using the pixels selected, extraction of an optical characteristic defining the response to illumination, of the material comprising the papillary print.
    Type: Grant
    Filed: December 21, 2016
    Date of Patent: October 20, 2020
    Inventors: Jean-François Mainguet, Jérôme Boutet, Joël Yann Fourre
  • Patent number: 10809737
    Abstract: An illustrative example embodiment of a detector device, which may be useful on an automated vehicle, includes an array of detectors arranged in one dimension. The array includes a plurality of first detectors and a plurality of second detectors. The first detectors respectively have one of the second detectors between the first detector and an adjacent one of the first detectors. The first detectors respectively are spaced from the one of the second detectors by a first distance. The one of the second detectors are respectively spaced from the adjacent one of the first detectors by a second distance that is larger than the first distance. The first detectors are spaced from each other by a third distance that is a sum of the first and second distance. The second detectors are also spaced from each other by the third distance.
    Type: Grant
    Filed: September 13, 2019
    Date of Patent: October 20, 2020
    Inventors: Zhengzheng Li, Carlos Alcalde
  • Patent number: 10799105
    Abstract: An example system to capture digital images includes: a colposcope device configured to capture a digital image during a colposcopy procedure; and an image processing module programmed to digitally process the digital image, including: a filter module programmed to filter certain aspects of the digital image; and an overlay module programmed to allow the digital image to be annotated. In other examples, colposcope devices include: a cradle, the cradle being configured to hold a portable computing device, the cradle including an aperture; and an optical capture device, the optical capture device including a constant magnification lens system, the constant magnification lens system being configured to direct light through the aperture.
    Type: Grant
    Filed: June 21, 2018
    Date of Patent: October 13, 2020
    Assignee: WELCH ALLYN, INC.
    Inventors: Jon R. Salvati, Raymond A. Lia, Ervin Goldfain, Robert L. Vivenzio, Kenzi L. Mudge, David J. Maier
  • Patent number: 10803544
    Abstract: The disclosed technology includes systems and methods for enhancing machine vision object recognition based on a plurality of captured images and an accumulation of corresponding classification analysis scores. A method is provided for capturing, with a camera of a mobile computing device, a plurality of images, each image of the plurality of images comprising a first object. The method includes processing, with a classification module comprising a trained neural network processing engine, at least a portion of the plurality of images. The method includes generating, with the classification module and based on the processing, one or more object classification scores associated with the first object. The method includes accumulating, with an accumulating module, the one or more object classification scores. And responsive to a timeout or an accumulated score exceeding a predetermined threshold, the method includes outputting classification information of the first object.
    Type: Grant
    Filed: May 29, 2019
    Date of Patent: October 13, 2020
    Inventors: Qiaochu Tang, Geoffrey Dagley, Micah Price, Sunil Vasisht, Stephen Wylie, Jason Hoover
  • Patent number: 10796147
    Abstract: This disclosure describes methods and systems for improving performance of biometric systems that use features in the eye, such as iris or eye-veins, particularly when both biometric performance and user convenience are objectives. The disclosure relates to optimizing biometric performance when the iris or eye veins are neither fully visible, nor fully occluded, but in a partially-occluded state which occurs often when a user's eye is in a relaxed or natural state. In some embodiments, the method comprises a biometric enrollment or training step whereby an original image of a human eye is acquired, and a plurality of synthetic or augmented images are generated that are a combination of the original image and synthesized images that simulate specific ways that the eye can be occluded. A classifier can be trained using the plurality of augmented reference images, and subsequent recognition is performed using the classifier on newly acquired real images.
    Type: Grant
    Filed: February 9, 2018
    Date of Patent: October 6, 2020
    Inventor: Keith Hanna
  • Patent number: 10789492
    Abstract: Provided is a specific object detection apparatus capable of detecting a specific object even when a self-vehicle is positioned at a distance from the specific object during bad weather.
    Type: Grant
    Filed: August 21, 2018
    Date of Patent: September 29, 2020
    Inventors: Ryuji Ueki, Takako Kimura, Mitsuhiro Uchida
  • Patent number: 10789692
    Abstract: A method and system for generating an output image from a plurality, N, of corresponding input image channels is described. A Jacobian matrix of the plurality of corresponding input image channels is determined. The principal characteristic vector of the outer product of the Jacobian matrix is calculated. The sign associated with the principal characteristic vector is set whereby an input image channel pixel projected by the principal characteristic vector results in a positive scalar value. The output image as a per-pixel projection of the input channels in the direction of the principal characteristic vector is generated.
    Type: Grant
    Filed: November 28, 2016
    Date of Patent: September 29, 2020
    Assignee: Apple Inc.
    Inventors: Graham Finlayson, Alex Hayes
  • Patent number: 10789508
    Abstract: In the current artificial intelligence field, models of deep learning that is prevalent can only map functions. Therefore, a machine learning model with higher performance is desirable. The issue is to construct a machine learning model that enables deep competitive learning between data based on the exact distance. A precise distance scale is submitted by unifying Euclidean space and probability space. It submits a measure of the probability measure of fuzzy event based on this distance. Or, it constructs a new neural network that can transmit information of the maximum probability. Furthermore, super deep competition learning is performed between data having very small ambiguous fuzzy information and minute unstable probability information. By performing integral calculation on this result, it has become possible to obtain dramatic effects at tape macro level.
    Type: Grant
    Filed: February 26, 2018
    Date of Patent: September 29, 2020
    Inventor: Zecang Gu
  • Patent number: 10791318
    Abstract: Among other aspects, various embodiments include encoding wavelength-based characteristics, in addition to three-dimensional positions, of a plurality of objects of a plurality of different wavelengths directly in an image of the objects.
    Type: Grant
    Filed: June 12, 2019
    Date of Patent: September 29, 2020
    Assignee: The Board of Trustees of the Leland Stanford Junior University
    Inventors: Yoav Shechtman, William E. Moerner, Lucien Weiss
  • Patent number: 10783391
    Abstract: Disclosed are a method and a system for recognizing a license plate. The method for recognizing a license plate according to an embodiment of the present disclosure includes generating a localization model for localizing a license plate area attached to an object by learning using image data including the preset object, and a recognition model for recognizing identification information of the license plate by learning using preset license plate image data; when input image is received, localizing a license plate area from the input image using the localization model; and recognizing identification information of a license plate of the corresponding object from the localized license plate area using the recognition model.
    Type: Grant
    Filed: November 21, 2018
    Date of Patent: September 22, 2020
    Inventor: Sanghoon Kim
  • Patent number: 10783631
    Abstract: A method is provided for measuring or estimating stress distributions on heart valve leaflets by obtaining three-dimensional images of the heart valve leaflets, segmenting the heart valve leaflets in the three-dimensional images by capturing locally varying thicknesses of the heart valve leaflets in three-dimensional image data to generate an image-derived patient-specific model of the heart valve leaflets, and applying the image-derived patient-specific model of the heart valve leaflets to a finite element analysis (FEA) algorithm to estimate stresses on the heart valve leaflets. The images of the heart valve leaflets may be obtained using real-time 3D transesophageal echocardiography (rt-3DTEE). Volumetric images of the mitral valve at mid-systole may be analyzed by user-initialized segmentation and 3D deformable modeling with continuous medial representation to obtain, a compact representation of shape.
    Type: Grant
    Filed: March 15, 2019
    Date of Patent: September 22, 2020
    Assignee: The Trustees of the University of Pennsylvania
    Inventors: Benjamin M. Jackson, Robert C. Gorman, Joseph H. Gorman, III, Alison M. Pouch, Chandra M. Sehgal, Paul A. Yushkevich, Brian B. Avants, Hongzhi Wang