Patents Examined by Idowu O Osifade
  • Patent number: 11074466
    Abstract: The present application provides an anti-counterfeiting processing method and related products, the method includes acquiring an iris image; acquiring a plurality of face images, the plurality of face images each corresponds to a set of depth information and a respective angle, and the iris image and the plurality of face images are derived from the same target object; performing three-dimensional modeling according to the plurality of face images and the depth information corresponding to the plurality of face images to obtain a stereo face image; comparing the stereo face image with a preset stereo face image, and performing a living body detection according to the iris image; and determining the target object is an effective real face when the stereo face image is successfully matched with the preset stereo face image and the iris image is derived from a living body.
    Type: Grant
    Filed: July 24, 2018
    Date of Patent: July 27, 2021
    Inventors: Haiping Zhang, Yibao Zhou
  • Patent number: 11068722
    Abstract: The invention relates to a method, an apparatus and a computer program product for analyzing media content. The method comprises receiving media content; performing feature extraction of the media content at a plurality of convolution layers to produce a plurality of layer-specific feature maps; transmitting from the plurality of convolution layers a corresponding layer-specific feature map to a corresponding de-convolution layer of a plurality of de-convolution layers via a recurrent connection between the plurality of convolution layers and the plurality of de-convolution layers; and generating a reconstructed media content based on the plurality of feature maps.
    Type: Grant
    Filed: September 27, 2017
    Date of Patent: July 20, 2021
    Assignee: Nokia Technologies Oy
    Inventors: Francesco Cricri, Mikko Honkala, Emre Baris Aksu, Xingyang Ni
  • Patent number: 11070942
    Abstract: Systems and methods for determining user equipment (UE) locations within a wireless network using reference signals of the wireless network are described. The disclosed systems and methods utilize a plurality of in-phase and quadrature (I/Q) samples generated from signals provided by receive channels associated with two or more antennas of the wireless system. Based on received reference signal parameters the reference signal within the signals from each receive channel among the receive channels is identified. Based on the identified reference signal from each receive channel, an angle of arrival between a baseline of the two or more antennas and incident energy from the UE to the two or more antennas is determined. That angle of arrival is then used to calculate the location of the UE. The angle of arrival may be a horizontal angle of arrival and/or a vertical angle of arrival.
    Type: Grant
    Filed: October 3, 2019
    Date of Patent: July 20, 2021
    Inventors: Truman Prevatt, Michael John Buynak
  • Patent number: 11069033
    Abstract: Various embodiments for image denoising using a convolutional neural network (CCN) are described. A system may include at least one computing device and program instructions stored in memory and executable in the at least one computing device that, when executed, direct the at least one computing device to implement a genetic algorithm (GA) routine that identifies and optimizes a plurality of hyperparameters for use in denoising an image using the convolutional neural network. An image may be denoised using the convolutional neural network, where the image is denoised using the hyperparameters identified and optimized in the genetic algorithm routine.
    Type: Grant
    Filed: September 3, 2019
    Date of Patent: July 20, 2021
    Assignee: University of Florida Research Foundation, Inc.
    Inventors: Ruogu Fang, Peng Liu
  • Patent number: 11062167
    Abstract: According to one embodiment, a system includes a sensor component and a detection component. The sensor component is configured to obtain a first stream of sensor data and a second stream of sensor data, wherein each of the first stream and second stream comprise a plurality of sensor frames. The detection component is configured to generate a concatenated feature map based on a sensor frame of a first type and a sensor frame of a second type. The detection component is configured to detect one or more objects based on the concatenated feature map. One or more of generating and detecting comprises generating or detecting using a neural network with a recurrent connection that feeds information about features or objects from previous frames.
    Type: Grant
    Filed: September 19, 2019
    Date of Patent: July 13, 2021
    Inventors: Guy Hotson, Parsa Mahmoudieh, Vidya Nariyambut Murali
  • Patent number: 11051779
    Abstract: A first sequence of cardiac image frames are received by a first neural network of the neural network system. The first neural network outputs a first set of feature values. The first set of feature values includes a plurality of data subsets, each corresponding to a respective image frame and relating to spatial features of the respective image frame. The first set of feature values are received at a second neural network of the neural network system. The second neural network outputs a second set of feature values relating to temporal features of the spatial features. Based on the second set of feature values, a cardiac phase value relating to a cardiac phase associated with a first image frame is determined.
    Type: Grant
    Filed: August 29, 2019
    Date of Patent: July 6, 2021
    Assignee: Siemens Healthcare GmbH
    Inventors: Alexandru Turcea, Costin Florian Ciusdel, Lucian Mihai Itu, Mehmet Akif Gulsun, Tiziano Passerini, Puneet Sharma
  • Patent number: 11048922
    Abstract: In some embodiments, a method calculates a first color metric value from a detection window in a first image that is detected by a visual system. A second image of pixels is generated where the pixels include one or more second color metric values that meet the first color metric value within a threshold. The method compares the second image to an object. When the comparison meets a criterion, the method transitions from a first mode to a second mode. When the comparison does not meet the criterion, the method continues to operate in the first mode.
    Type: Grant
    Filed: May 24, 2019
    Date of Patent: June 29, 2021
    Assignee: Intel Corporation
    Inventors: Julio Cesar Zamora Esquivel, Jose Rodrigo Camacho Perez, Paulo Lopez Meyer, Hector Alfonso Cordourier Maruri, German Fabila Garcia, Jesus Adan Cruz Vargas
  • Patent number: 11044613
    Abstract: An apparatus for processing an image is provided. The apparatus includes at least one processor, and a memory electrically connected to the at least one processor, wherein the memory stores instructions causing the at least one processor to perform a process of identifying a first image and a second image collected in a time series, acquiring first layer information corresponding to a first object from the first image, acquiring second layer information corresponding to a second object from the second image, acquiring a radio propagation parameter based on the first layer information and the second layer information, and acquiring radio frequency design information based on the radio propagation parameter.
    Type: Grant
    Filed: April 8, 2019
    Date of Patent: June 22, 2021
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Soonyoung Lee, Sungbum Park, Minsung Cho
  • Patent number: 11030743
    Abstract: Embodiments of the present disclosure include a method, device and computer readable medium involving receiving image data of one or more coronary arteries, generating a binary segmentation indicating presence of calcium in the one or more coronary arteries from the image data, generating a branch density of the one or more coronary arteries, and assigning a coronary artery label from the branch density to the binary segmentation such that at least one indication of presence of calcium of the binary segmentation is labeled as present in a specific one of the one or more coronary arteries.
    Type: Grant
    Filed: May 16, 2019
    Date of Patent: June 8, 2021
    Inventors: Hui Tang, Tao Yang, Yusheng Xie, Yaliang Li, Qian Zhen, Wei Fan
  • Patent number: 11030465
    Abstract: A method for analyzing a number of people includes an image shooting step and a front-end analyzing step. In the image shooting step, a first image and a second image are obtained. In the front-end analyzing step, a foreground object analysis is operated, and a plurality of foreground objects located at a region of interest in the first image are obtained. A human body detection is operated, and at least one human body and a location thereof of the second image are obtained. An intersection analysis is operated, and the location of the human body is matched to the first image. A number of people estimation is operated to estimate the number of the people according to the first covering ratio, a number of the human body, and a second covering ratio of all the foreground objects to the region of interest.
    Type: Grant
    Filed: December 1, 2019
    Date of Patent: June 8, 2021
    Assignee: Automotive Research & Testing Center
    Inventors: Hung-Pang Lin, Po-Hsiang Liao, De-Ciang Ye, Hsuan-Ta Lin
  • Patent number: 11017259
    Abstract: An optical inspection method for an optical inspection device comprising an optical lens is provided according to an embodiment of the disclosure. The optical inspection method includes: obtaining a first image of an object by the optical lens; performing an edge detection on the first image to obtain a second image comprising an edge pattern; and performing a defect inspection operation on the second image based on a neural network architecture to inspect a defect pattern in the second image. In addition, an optical inspection device and an optical inspection system are provided according to embodiments of the disclosure.
    Type: Grant
    Filed: June 27, 2019
    Date of Patent: May 25, 2021
    Assignee: UTECHZONE CO., LTD.
    Inventors: Arulmurugan Ambikapathi, Ming-Tang Hsu, Chia-Liang Lu, Chih-Heng Fang
  • Patent number: 11017522
    Abstract: A system includes an inspection device and an image processing unit. The inspection device is configured to scan a wafer to generate an inspected image. The image processing unit is configured to receive the inspected image, and is configured to analyze the inspected image by using at least one deep learning algorithm in order to determine whether there is any defect image shown in a region of interest in the inspected image. When there is at least one defect image shown in the region of interest in the inspected image, the inspection device is further configured to magnify the region of interest in the inspected image to generate a magnified inspected image for identification of defects.
    Type: Grant
    Filed: April 18, 2019
    Date of Patent: May 25, 2021
    Inventors: Chung-Pin Chou, In-Tsang Lin, Sheng-Wen Huang, Yu-Ting Wang, Jui-Kuo Lai, Hsin-Hui Chou, Jun-Xiu Liu, Tien-Wen Wang
  • Patent number: 11017547
    Abstract: A method for use of machine learning in computer-assisted anatomical prediction. The method includes identifying with a processor parameters in a plurality of training images to generate a training dataset, the training dataset having data linking the parameters to respective training images, training at least one machine learning algorithm based on the parameters in the training dataset and validating the trained machine learning algorithm, identifying with the processor digitized points on a plurality of anatomical landmarks in an image of a person displayed on a digital touch screen by determining linear anatomical dimensions of at least a portion of a body of the person in the displayed image using the validated machine learning algorithm and a scale factor for the displayed image, and making an anatomical circumferential prediction of the person based on the determined linear anatomical dimensions and a known morphological relationship.
    Type: Grant
    Filed: May 9, 2019
    Date of Patent: May 25, 2021
    Assignee: POSTURE CO., INC.
    Inventors: Joseph Ralph Ferrantelli, Douglas Boberg, Jr.
  • Patent number: 11017516
    Abstract: The present invention relates to a forgery detection system and its method for biomedical experiment images, especially for molecular-biological experiment images, such as western blot (WB) and polymerase chain reaction (PCR) results. The forgery detection system mainly comprises a processing module, an image difference computing module, a thresholding module, and an image mixing module are formed in an image analyzing device in the form of a library, a variable or an operand. Moreover, the processing module has a quantization parameter establishing unit, a similar computing unit, and a pseudo background generating unit. The purpose of the image analyzing device is to display an artificial image on the input image.
    Type: Grant
    Filed: April 25, 2019
    Date of Patent: May 25, 2021
    Inventor: Hao-Chiang Shao
  • Patent number: 11004190
    Abstract: A workpiece image generation device is provided with a machining information acquisition unit, an area division unit configured to virtually divide a surface area of the workpiece into partial areas based on the surface shape information, an image acquisition unit configured to acquire a plurality of images of the workpiece captured with different angles of irradiation on the workpiece as viewed from the imaging device, an area image selection unit configured to extract partial images individually from the plurality of images of the workpiece, based on the partial areas of the surface area of the workpiece, and select partial images corresponding to the individual partial areas from the plurality of extracted partial images, an image synthesis unit configured to generate a composite image of the workpiece obtained by synthesizing the partial images, and a composite image output unit configured to output the composite image of the workpiece.
    Type: Grant
    Filed: January 25, 2019
    Date of Patent: May 11, 2021
    Inventors: Yuuki Sugita, Hang Cui
  • Patent number: 10997735
    Abstract: The present invention relates to a method, system, and non-transitory computer-readable recording medium for calculating a motion trajectory of a subject. According to one aspect of the invention, there is provided a method for calculating a motion trajectory of a subject, the method comprising the steps of: acquiring at least three images of a subject using one imaging module; and calculating a motion trajectory of the subject with reference to the at least three acquired images, on the basis of each of at least three positions determined by a projection from a viewpoint of the imaging module to the subject on a background, and at least three virtual lines passing through a position where the imaging module is disposed.
    Type: Grant
    Filed: October 29, 2019
    Date of Patent: May 4, 2021
    Assignee: CREATZ., INC.
    Inventors: Yong Ho Suk, Jey Ho Suk
  • Patent number: 10991123
    Abstract: A process executes at an electronic system. The process identifies device characteristics of an imaging device that includes signal emitters and signal detectors. The process illuminates a field of view by signals from the signal emitters according to a modulation signal generated by the imaging device. At each of the signal detectors, the process obtains a response signal, and samples the response signals to form a response vector. The process obtains a lookup table corresponding to the modulation signal and the device characteristics. The field of view is partitioned into a 3-dimensional plurality of voxels, and the lookup table specifies, for each voxel, expected signals received by the signal detectors when the voxel is filled and the signal emitters illuminate the field of view according to the modulation signal. The process compares the response vector to the lookup table to determine which voxels are filled.
    Type: Grant
    Filed: August 12, 2019
    Date of Patent: April 27, 2021
    Assignee: Google LLC
    Inventors: Ghulam Ahmed Kirmani, Andrea Colaco
  • Patent number: 10989816
    Abstract: Systems, computer-implemented methods, apparatus and/or computer program products are provided that facilitate improving the accuracy of global positioning system (GPS) coordinates of indoor photos. The disclosed subject matter further provides systems, computer-implemented methods, apparatus and/or computer program products that facilitate generating exterior photos of structures based on GPS coordinates of indoor photos.
    Type: Grant
    Filed: February 8, 2019
    Date of Patent: April 27, 2021
    Assignee: Matterport, Inc.
    Inventors: Gunnar Hovden, Scott Adams
  • Patent number: 10990809
    Abstract: The present invention relates to a computer-implemented method of identifying a physical object, comprising the steps of providing image data comprising an image object representing a physical object, analyzing the image data to extract identification data for the image object, providing supplementary data associated with a particular physical object, and determining whether the image object corresponds to the particular physical object based on the identification data and supplementary data.
    Type: Grant
    Filed: May 2, 2019
    Date of Patent: April 27, 2021
    Assignee: IDEMIA Identity & Security Germany AG
    Inventors: Christian Behrenberg, Stefan Fuhrmann, Maximilian Krueger, Stefan Schlenger, Martin Werner, Christian Winter, Marco W├Ârmann, Ran Zhou
  • Patent number: 10984284
    Abstract: A computerized method and system for adding distortions to a computer-generated image of a document stored in an image file. An original computer-generated image file is selected and is processed to generate one or more distorted image files for each original computer-generated image file by selecting one or more augmentation modules from a set of augmentation modules to form an augmentation sub-system. The original computer-generated image file is processed with the augmentation sub-system to generate an augmented image file by altering the original computer-generated image file to add distortions that simulate distortions introduced during scanning of a paper-based representation of a document represented in the original computer-generated image file.
    Type: Grant
    Filed: November 19, 2018
    Date of Patent: April 20, 2021
    Assignee: Automation Anywhere, Inc.
    Inventors: Thomas Corcoran, Vibhas Gejji, Stephen Van Lare