Patents Examined by Phuoc Tran
  • Patent number: 11069037
    Abstract: An image fusion method for removing ghost artifacts is provided. The method includes: determining a first fusion weight of a reference pixel in a reference frame, wherein the coordinates of the reference pixel are the same as the coordinates of one of input pixels included in an input frame; determining a reference brightness parameter according to values of all channels of the reference pixel; determining an input brightness parameter according to values of all channels of the input pixel; determining a ghost weight according to an amount that the brightness parameter ratio of the input brightness parameter and the reference brightness parameter deviates from a reasonable range; determining a fusion weight according to the first fusion weight and the ghost weight; and fusing the reference pixel with the input pixel according to the fusion weight to generate a fused pixel in a fused frame.
    Type: Grant
    Filed: March 20, 2020
    Date of Patent: July 20, 2021
    Assignee: GLENFLY TECHNOLOGY CO., LTD.
    Inventor: Yichen Li
  • Patent number: 11037281
    Abstract: Embodiments of this application disclose an image fusion method performed by a computing device. The method includes the following steps: obtaining source face image data of a current to-be-fused image and resource configuration information of a current to-be-fused resource, performing image recognition processing on the source face image data, to obtain source face feature points corresponding to the source face image data, and generating a source face three-dimensional grid of the source face image data according to the source face feature points, performing grid fusion by using a resource face three-dimensional grid and the source face three-dimensional grid to generate a target face three-dimensional grid, and performing face complexion fusion by using source complexion data of the source face image data and resource complexion data of resource face image data on the target face three-dimensional grid, to generate fused target face image data.
    Type: Grant
    Filed: April 27, 2020
    Date of Patent: June 15, 2021
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Keyi Shen, Pei Cheng, Mengren Qian, Bin Fu
  • Patent number: 11037013
    Abstract: Provided are a camera and an image processing method of the camera. According to an aspect of the present disclosure, an image processing method of a camera includes receiving region information; receiving image data extracted from a corresponding region of an original resolution image corresponding to a region set according to the region information regarding an input image; and analyzing image data of the original resolution image and detecting an object corresponding to a set condition.
    Type: Grant
    Filed: January 19, 2018
    Date of Patent: June 15, 2021
    Assignee: HANWHA TECHWIN CO., LTD.
    Inventors: Yil Kwon Chang, Seung In Noh, Young Hyun Lee
  • Patent number: 11030724
    Abstract: Provided is an image restoration apparatus and method. The image restoration apparatus may store an image restoration model including a convolutional layer corresponding to kernels having various dilation gaps, and may restore an output image from a target image obtained by rearranging a compound eye vision (CEV) image by the image restoration model.
    Type: Grant
    Filed: July 9, 2019
    Date of Patent: June 8, 2021
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Yang Ho Cho, Deokyoung Kang, Dong Kyung Nam
  • Patent number: 11030439
    Abstract: A facial expression synthesis method is provided. The method includes obtaining a to-be-processed facial image of a target object, and processing the to-be-processed facial image by using a face-recognition operation, to obtain skin color information of the to-be-processed facial image; screening out a target expression-material image, from a plurality of expression-material images in an expression-material image library, matching the skin color information; extracting a region image corresponding to a target synthesis region in the target expression-material image; and performing Poisson fusion processing on the region image and the to-be-processed facial image to fuse the region image with the to-be-processed facial image, so as to obtain a target facial image of the target object.
    Type: Grant
    Filed: January 28, 2020
    Date of Patent: June 8, 2021
    Assignee: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Yongsen Zheng, Xiaolong Zhu
  • Patent number: 11023786
    Abstract: A device control apparatus includes an imaging unit configured to capture an image of an occupant in a vehicle, a first recognition unit configured to recognize a posture of the occupant based on the image captured by the imaging unit, a second recognition unit configured to recognize a state of a hand including at least a shape of the hand of the occupant based on the image captured by the imaging unit, a discrimination processing unit configured to specify a device to be controlled and an operation to be executed based on the posture of the occupant recognized by the first recognition unit and the state of the hand recognized by the second recognition unit, and a controller configured to issue a control command corresponding to the specified device to be controlled and the specified operation to be executed.
    Type: Grant
    Filed: July 2, 2019
    Date of Patent: June 1, 2021
    Assignee: TOYOTA JIDOSHA KABUSHIKI KAISHA
    Inventor: Daisuke Hiroki
  • Patent number: 11017565
    Abstract: The present disclosure provides a method and a device for adaptively controlling a multimedia blackboard, a medium, and an electronic apparatus. In the present disclosure, a three-dimensional model of a target space is established, and a distribution area of the students in a classroom may be obtained by an adaptive algorithm based on the three-dimensional model and an angle of the multimedia blackboard may be automatically controlled to ensure that the students can watch the multimedia blackboard better and reduce the fatigue feeling about the class, which helps in improving an efficiency of having the class.
    Type: Grant
    Filed: April 10, 2020
    Date of Patent: May 25, 2021
    Assignee: AMBON SIHUA INTELLIGENT TECHNOLOGY CO., LTD.
    Inventors: Jin Huang, Qiaoling Xu, Gang Huang, Kesheng Wang, Zhengke Hou, Zheyu Wu
  • Patent number: 11017244
    Abstract: The present disclosure provides an obstacle type recognizing method and apparatus, a device and a storage medium, wherein the method comprises: obtaining 3D point cloud data corresponding to a to-be-recognized obstacle; mapping the 3D point cloud data and its dimension data to a four-dimensional array; recognizing a type of the obstacle through a deep learning algorithm based on the four-dimensional array. The solution of the present disclosure can be applied to determine the type of the obstacle such as a person, a bicycle or a motor vehicle; and recognize a small-sized vehicle, a medium-sized vehicle and a large-sized vehicle; and improve the accuracy of a recognition result.
    Type: Grant
    Filed: June 19, 2018
    Date of Patent: May 25, 2021
    Assignee: Baidu Online Network Technology (Beijing) Co., Ltd.
    Inventor: Zhao Xue
  • Patent number: 11006900
    Abstract: The present disclosure relates to a method and a system for standardizing a hemodynamics measurement result and a non-transitory computer-readable recording medium. According to one aspect of the present disclosure, provided is a method for standardizing a measurement result obtained from a device for monitoring hemodynamics, the method comprising the steps of: capturing an image of a subject wearing a monitoring device; defining a photogrammetric coordinate system on the captured image, and converting a preset local coordinate system on the monitoring device into the photogrammetric coordinate system; and converting the photogrammetric coordinate system into a standard coordinate system which is based on a standard space.
    Type: Grant
    Filed: July 5, 2017
    Date of Patent: May 18, 2021
    Assignee: KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
    Inventors: Hyeon Min Bae, Gun Pil Hwang, Min Gyu Choi, Jong Kwan Choi, Jae Myoung Kim, Min Su Ji
  • Patent number: 11010914
    Abstract: An image processor includes an accepting unit that accepts designation of at least part of a three dimensional microscope image data, and an image generator that generates three dimensional magnified image data based on the designation. In the image processor, the image generator may sequentially output a first magnified image based on at least part of data of the three dimensional magnified image data, and a second magnified image based on the at least part of data of the three dimensional magnified image data which has at least part of data different from the first magnified image.
    Type: Grant
    Filed: November 24, 2016
    Date of Patent: May 18, 2021
    Assignee: NIKON CORPORATION
    Inventors: Toshiya Okabe, Ichiro Sase, Ryosuke Komatsu, Yutaka Sasaki, Miroslav Svoboda, Martin Sajdl, Jiri Sonsky
  • Patent number: 11003955
    Abstract: Techniques for compacting an ML model by replacing a linear transformation layer and a convolutional layer with a modified convolution layer. Determining the modified convolutional layer may include determining a modified bias and/or a modified filter. In some examples, before merging the layers, an output of the linear transformation layer may be provided as input to the convolution layer (e.g., the linear transformation layer may precede the convolutional layer). The linear transformation lay may include, for example, a batch normalization layer, a pooling layer, and/or the like.
    Type: Grant
    Filed: May 3, 2019
    Date of Patent: May 11, 2021
    Assignee: Zoox, Inc.
    Inventor: Qijun Tan
  • Patent number: 10997473
    Abstract: Object localization based on spatial relationships can be performed by obtaining a plurality of 3D coordinates within a 3D space, generating a feature vector for each coordinate based on quantified spatial relationships between the corresponding coordinate and one or more other coordinates among the plurality of coordinates, and applying a regression process to the feature vectors to produce a locating function for relating quantified spatial relationships among the plurality of coordinates and a location within the 3D space.
    Type: Grant
    Filed: November 27, 2018
    Date of Patent: May 4, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventor: Marco Visentini Scarzanella
  • Patent number: 10997730
    Abstract: In one embodiment, a method includes receiving a machine-learning model trained to detect a specified motion using multiple videos, wherein each video has at least one frame labeled as a moment of perception of the specified motion, identifying an object-of-interest depicted in an input video, detecting a motion of the object-of-interest, determining that the detected motion is the specified motion, and classifying one of the frames of the input video as the moment of perception of the specified motion.
    Type: Grant
    Filed: August 21, 2019
    Date of Patent: May 4, 2021
    Assignee: Xnor.AI, Inc.
    Inventors: Hessam Bagherinezhad, Carlo Eduardo Cabanero del Mundo, Anish Jnyaneshwar Prabhu, Peter Zatloukal, Lawrence Frederick Arnstein
  • Patent number: 10991122
    Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for training an optical flow object localization system and a novel object localization system. In a first aspect, the optical flow object localization system is trained to process an optical flow image to generate object localization data defining locations of objects depicted in a video frame corresponding to the optical flow image. In a second aspect, a novel object localization system is trained to process a video frame to generate object localization data defining locations of novel objects depicted in the video frame.
    Type: Grant
    Filed: January 31, 2019
    Date of Patent: April 27, 2021
    Assignee: Google LLC
    Inventors: Susanna Maria Ricco, Bryan Andrew Seybold
  • Patent number: 10991085
    Abstract: Embodiments herein describe a framework for classifying images. In some embodiments, it is determined whether an image includes synthetic image content. If it does, characteristics of the image are analyzed to determine if the image includes characteristics particular to panoramic images (e.g., possess a threshold equivalency of pixel values among the top and/or bottom boundaries of the image, or a difference between summed pixel values of the pixels comprising the right vertical boundary of the image and summed pixel values of the pixels comprising the left vertical boundary of the image being less than or equal to a threshold value). If the image includes characteristics particular to panoramic images, the image is classified as a synthetic panoramic image. If the image is determined to not include synthetic image content, a neural network is applied to the image and the image is classified as one of non-synthetic panoramic or non-synthetic non-panoramic.
    Type: Grant
    Filed: April 1, 2019
    Date of Patent: April 27, 2021
    Assignee: ADOBE INC.
    Inventors: Qi Sun, Li-Yi Wei, Joon-Young Lee, Jonathan Eisenmann, Jinwoong Jung, Byungmoon Kim
  • Patent number: 10992919
    Abstract: Frame packing techniques are disclosed for multi-directional images and video. According to an embodiment, a multi-directional source image is reformatted into a format in which image data from opposing fields of view are represented in respective regions of the packed image as flat image content. Image data from a multi-directional field of view of the source image between the opposing fields of view are represented in another region of the packed image as equirectangular image content. It is expected that use of the formatted frame will lead to coding efficiencies when the formatted image is processed by predictive video coding techniques and the like.
    Type: Grant
    Filed: December 23, 2019
    Date of Patent: April 27, 2021
    Assignee: Apple Inc.
    Inventors: Jae Hoon Kim, Ming Chen, Xiaosong Zhou, Hsi-Jung Wu, Dazhong Zhang, Hang Yuan, Jiefu Zhai, Chris Y. Chung
  • Patent number: 10984239
    Abstract: Various embodiments herein each include at least one of systems, methods, software, and data structures for context-aided machine vision. For example, one method embodiment includes identifying a customer in a shopping area and maintaining an item bin in a computing system of data identifying items the customer has picked up for purchase. This method further includes receiving an image of the customer holding an item and performing item identification processing on the image to identify the item the customer is holding. The item identification processing may be performed based in part on a stored shopping history of the customer indicating items the customer is more likely to purchase. The identified item is then added to the item bin of the customer.
    Type: Grant
    Filed: September 27, 2018
    Date of Patent: April 20, 2021
    Assignee: NCR Corporation
    Inventors: Brent Vance Zucker, Adam Justin Lieberman
  • Patent number: 10984526
    Abstract: One variation of a method for predicting manufacturing defects includes: accessing a first set of inspection images of a first set of assembly units recorded by an optical inspection station over a first period of time; generating a first set of vectors representing features extracted from the first set of inspection images; grouping neighboring vectors in a multi-dimensional feature space into a set of vector groups; accessing a second inspection image of a second assembly recorded by the optical inspection station at a second time succeeding the first period of time; detecting a second set of features in the second inspection image; generating a second vector representing the second set of features in the multi-dimensional feature space; and, in response to the second vector deviating from the set of vector groups by more than a threshold difference, flagging the second assembly unit.
    Type: Grant
    Filed: June 9, 2020
    Date of Patent: April 20, 2021
    Assignee: Instrumental, Inc.
    Inventors: Samuel Bruce Weiss, Anna-Katrina Shedletsky, Simon Kozlov, Ana Ulin, Mikhail Okunev, Isaac Sukin
  • Patent number: 10973346
    Abstract: A method of pillow customization includes analyzing shapes associated with people through the use of sensors to create analytical data; receiving photos from a subject user through a first computing device and a server; determining a firmness of a mattress of the subject user based on the photos; determining body measurements of the subject based on the photos through one or more algorithms and a second computing device; providing the subject user with a pillow diagram, the pillow diagram having one or more zones, each of the one or more zones being customizable in firmness; receiving one or more subject user inputted selections through the first computing device; and designing a pillow based on the firmness of the mattress, the body measurements, and the one or more subject user inputted characteristics, the pillow being customized to the subject user.
    Type: Grant
    Filed: June 12, 2019
    Date of Patent: April 13, 2021
    Inventor: Richard Winer
  • Patent number: 10970827
    Abstract: An image processor includes: an image sensor outputting a short exposure image and a long exposure image; a sensor controller that, when brightness of the subject changes, controls first exposure sensitivity to cause the short exposure image to have first brightness and controls second exposure sensitivity to cause the long exposure image to have second brightness; a motion blending ratio calculator calculating a motion blending ratio based on a motion amount of the subject; a motion-adapted image synthesizer generating a motion-adapted image by synthesizing a corrected short exposure image and the long exposure image based on the motion blending ratio; and an HDR image synthesizer generating an HDR image by synthesizing the motion-adapted image and the short exposure image together. When the subject becomes darker, the sensor controller controls the first and second exposure sensitivities to cause the first sensor gain to be at most the second sensor gain.
    Type: Grant
    Filed: October 4, 2019
    Date of Patent: April 6, 2021
    Assignee: PANASONIC INTELLECTUAL PROPERTY MANAGEMENT CO., LTD.
    Inventors: Tomokuni Iijima, Nobutoshi Fujinami, Shigeru Furumiya