Patents by Inventor Chen Cao

Chen Cao has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11769259
    Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for accessing a set of images depicting at least a portion of a face. A set of facial regions of the face is identified, each facial region of the set of facial regions intersecting another facial region with at least one common vertex that is a member of a set of facial vertices. For each facial region of the set of facial regions, a weight formed from a set of region coefficients is generated. Based on the set of facial regions and the weight of each facial region of the set of facial regions, the face is tracked across the set of images.
    Type: Grant
    Filed: February 12, 2021
    Date of Patent: September 26, 2023
    Assignee: Snap Inc.
    Inventors: Chen Cao, Menglei Chai, Linjie Luo, Oliver Woodford
  • Patent number: 11742970
    Abstract: An example test system includes memory (e.g., one or more memory devices) storing (i) instructions that are executable, and (ii) a mapping function that relates first error vector magnitudes (EVMs) for first symbols to second EVMs for the first symbols, where the first EVMs are corrupted by radio frequency (RF) noise and the second EVMs are corrupted by both RF noise and symbol decoding errors. The test system also includes a decoder to receive a signal from a device under test, and to obtain a third EVM for a second symbol that is based on the signal, where the third EVM is corrupted by both RF noise and a symbol decoding error. One or more processing devices are configured to execute the instructions to adjust the third EVM using the mapping function to correct the symbol decoding error in the third EVM.
    Type: Grant
    Filed: July 28, 2022
    Date of Patent: August 29, 2023
    Assignee: LITEPOINT CORPORATION
    Inventors: Chen Cao, Christian Volf Olgaard, Ruizu Wang, Qingjie Lu
  • Patent number: 11733230
    Abstract: The disclosure discloses a method for quickly and accurately analyzing polyphenol content in rapeseed oil, and belongs to the field of analysis of natural compounds. The separation method of the disclosure uses acetonitrile-water as an extractant to extract polyphenols from the rapeseed oil, and cooperates with a C18 adsorbent for purification, and then performs separation and purification. Compared with the traditional liquid-liquid extraction and solid-phase extraction, the method has an average recovery rate of polyphenols in the rapeseed oil of 81.31% to 102.95%, and RSDs of 0.86% to 8.03%, and has higher accuracy and precision. The method of the disclosure not only uses less organic reagents and causes less environmental pollution, but also reduces matrix interference and improves purification efficiency through optimization of the adsorbent.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: August 22, 2023
    Assignee: JIANGNAN UNIVERSITY
    Inventors: Yuanfa Liu, Junge Song, Yongjiang Xu, Zhaojun Zheng, Chen Cao, Yinghong Zhai
  • Patent number: 11734888
    Abstract: A method for providing real-time three-dimensional facial animation from video is provided. The method includes collecting images of a subject, and forming a three-dimensional mesh for the subject based on a facial expression factor and a head pose of the subject extracted from the images of the subject. The method also includes forming a texture transformation based on an illumination parameter associated with an illumination configuration for the images from the subject, forming a three-dimensional model for the subject based on the three-dimensional mesh and the texture transformation, determining a loss factor based on selected points in a test image from the subject and a rendition of the test image by the three-dimensional model, and updating the three-dimensional model according to the loss factor. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.
    Type: Grant
    Filed: August 6, 2021
    Date of Patent: August 22, 2023
    Assignee: Meta Platforms Technologies, LLC
    Inventors: Chen Cao, Vasu Agrawal, Fernando De la Torre, Lele Chen, Jason Saragih, Tomas Simon Kreuz, Yaser Sheikh
  • Publication number: 20230245365
    Abstract: A method for generating a subject avatar using a mobile phone scan is provided. The method includes receiving, from a mobile device, multiple images of a first subject, extracting multiple image features from the images of the first subject based on a set of learnable weights, inferring a three-dimensional model of the first subject from the image features and an existing three-dimensional model of a second subject, animating the three-dimensional model of the first subject based on an immersive reality application running on a headset used by a viewer, and providing, to a display on the headset, an image of the three-dimensional model of the first subject. A system and a non-transitory, computer-readable medium storing instructions to perform the above method, are also provided.
    Type: Application
    Filed: December 2, 2022
    Publication date: August 3, 2023
    Inventors: Chen Cao, Stuart Anderson, Tomas Simon Kreuz, Jin Kyu Kim, Gabriel Bailowitz Schwartz, Michael Zollhoefer, Shunsuke Saito, Stephen Anthony Lombardi, Shih-En Wei, Danielle Belko, Shoou-I Yu, Yaser Sheikh, Jason Saragih
  • Publication number: 20230245420
    Abstract: An image processing method and apparatus may be provided. The process may include, obtaining source compressed texture data of a target image by encoding the target image by using a source compressed texture format and determining a target compressed texture format adapted to the display card and a target compressed block size corresponding to the target compressed texture format. The process may also include obtaining a plurality of pieces of image texture data, based on decoding and aligning the source compressed texture data by using the target compressed block size, and obtaining target compressed texture data of the target image, based on transcoding each piece of the plurality of pieces of image texture data by using the target compressed texture format and the target compressed block size. The process may also include rendering the target image based on the target compressed texture data.
    Type: Application
    Filed: April 7, 2023
    Publication date: August 3, 2023
    Applicant: TENCENT TECHNOLOGY (SHENZHEN) COMPANY LIMITED
    Inventors: Zhiqiang YUAN, Yandong Yang, Wenyan Li, Rongxin Zhou, Lei Liu, Xinda Zhao, Zhipeng Gong, Hao Yang, Chen Cao, Wei Zhou
  • Patent number: 11710275
    Abstract: A shape generation system can generate a three-dimensional (3D) model of an object from a two-dimensional (2D) image of the object by projecting vectors onto light cones created from the 2D image. The projected vectors can be used to more accurately create the 3D model of the object based on image element (e.g., pixel) values of the image.
    Type: Grant
    Filed: October 12, 2021
    Date of Patent: July 25, 2023
    Assignee: Snap Inc.
    Inventors: Soumyadip Sengupta, Linjie Luo, Chen Cao, Menglei Chai
  • Publication number: 20230106140
    Abstract: The present invention relates to a joint automatic audio visual driven facial animation system that in some example embodiments includes a full scale state of the art Large Vocabulary Continuous Speech Recognition (LVCSR) with a strong language model for speech recognition and obtained phoneme alignment from the word lattice.
    Type: Application
    Filed: December 9, 2022
    Publication date: April 6, 2023
    Inventors: Chen Cao, Xin Chen, Wei Chu, Zehao Xue
  • Patent number: 11610354
    Abstract: The present invention relates to a joint automatic audio visual driven facial animation system that in some example embodiments includes a full scale state of the art Large Vocabulary Continuous Speech Recognition (LVCSR) with a strong language model for speech recognition and obtained phoneme alignment from the word lattice.
    Type: Grant
    Filed: June 16, 2021
    Date of Patent: March 21, 2023
    Assignee: Snap Inc.
    Inventors: Chen Cao, Xin Chen, Wei Chu, Zehao Xue
  • Patent number: 11598803
    Abstract: System and method for compensating for power loss due to a radio frequency (RF) signal probe mismatch in conductive RF signal testing of a RF data signal transceiver device under test (DUT). Sourcing the RF test signal with the RF vector signal transceiver at multiple test frequencies enables isolation of and compensation for power loss due to a mismatch between the RF signal probe and RF DUT connection based on predetermined losses of the RF signal path.
    Type: Grant
    Filed: June 21, 2021
    Date of Patent: March 7, 2023
    Assignee: LITEPOINT CORPORATION
    Inventors: Chen Cao, Christian Volf Olgaard, Ray Wang
  • Publication number: 20220407610
    Abstract: System and method for measuring path loss of a conductive radio frequency (RF) signal path used in testing a RF data signal transceiver device under test (DUT) with a RF vector signal transceiver. A path loss measurement may be performed by initially leaving an open connection at the RF signal path end normally connected to the DUT during DUT testing. Sourcing the RF test signal with the RF vector signal transceiver at multiple test frequencies avoids need for additional testing with shorted and loaded connections at the RF signal path end.
    Type: Application
    Filed: June 21, 2021
    Publication date: December 22, 2022
    Inventors: Chen Cao, Christian Volf Olgaard, Ray Wang
  • Publication number: 20220391489
    Abstract: Embodiments of this application provide a data processing method performed by a computer device, where the method includes: obtaining, in response to a login trigger event for a target application at a terminal device, an environment identification parameter used for identifying a running environment of the target application at the terminal device; obtaining, according to the environment identification parameter, a login entry information set related to the target application from an application server, the login entry information set including login entry information of login platforms of at least two operating systems; rendering login entry options of the login platforms of the at least two operating systems according to login entry information in the login entry information set; and returning the rendered login entry options to the terminal device for display in a user interface at the terminal device.
    Type: Application
    Filed: August 17, 2022
    Publication date: December 8, 2022
    Inventor: Chen CAO
  • Publication number: 20220358719
    Abstract: A method for providing real-time three-dimensional facial animation from video is provided. The method includes collecting images of a subject, and forming a three-dimensional mesh for the subject based on a facial expression factor and a head pose of the subject extracted from the images of the subject. The method also includes forming a texture transformation based on an illumination parameter associated with an illumination configuration for the images from the subject, forming a three-dimensional model for the subject based on the three-dimensional mesh and the texture transformation, determining a loss factor based on selected points in a test image from the subject and a rendition of the test image by the three-dimensional model, and updating the three-dimensional model according to the loss factor. A system and a non-transitory, computer-readable medium storing instructions to perform the above method are also provided.
    Type: Application
    Filed: August 6, 2021
    Publication date: November 10, 2022
    Inventors: Chen Cao, Vasu Agrawal, Fernando De la Torre, Lele Chen, Jason Saragih, Tomas Simon Kreuz, Yaser Sheikh
  • Patent number: 11468544
    Abstract: Systems, devices, media, and methods are presented for generating texture models for objects within a video stream. The systems and methods access a set of images as the set of images are being captured at a computing device. The systems and methods determine, within a portion of the set of images, an area of interest containing an eye and extract an iris area from the area of interest. The systems and methods segment a sclera area within the area of interest and generate a texture for the eye based on the iris area and the sclera area.
    Type: Grant
    Filed: June 23, 2021
    Date of Patent: October 11, 2022
    Assignee: Snap Inc.
    Inventors: Chen Cao, Wen Zhang, Menglei Chai, Linjie Luo
  • Publication number: 20220254084
    Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for transforming a motion style of an avatar from a first style to a second style. The program and method include: retrieving, by a processor from a storage device, an avatar depicting motion in a first style; receiving user input selecting a second style; obtaining, based on the user input, a trained machine learning model that performs a non-linear transformation of motion from the first style to the second style; and applying the obtained trained machine learning model to the retrieved avatar to transform the avatar from depicting motion in the first style to depicting motion in the second style.
    Type: Application
    Filed: April 19, 2022
    Publication date: August 11, 2022
    Inventors: Harrison Jesse Smith, Chen Cao, Yingying Wang
  • Patent number: 11348301
    Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for transforming a motion style of an avatar from a first style to a second style. The program and method include: retrieving, by a processor from a storage device, an avatar depicting motion in a first style; receiving user input selecting a second style; obtaining, based on the user input, a trained machine learning model that performs a non-linear transformation of motion from the first style to the second style; and applying the obtained trained machine learning model to the retrieved avatar to transform the avatar from depicting motion in the first style to depicting motion in the second style.
    Type: Grant
    Filed: December 16, 2020
    Date of Patent: May 31, 2022
    Assignee: Snap Inc.
    Inventors: Harrison Jesse Smith, Chen Cao, Yingying Wang
  • Patent number: 11319565
    Abstract: The disclosure discloses a method for preparing a lipoamino acid compound based on deep eutectic solvents, and belongs to the field of organic synthesis. The preparation method of the disclosure uses a fatty acid and an amino acid as substrates, uses a deep eutectic solvent as a medium, and directly and efficiently prepares a single-chain lipoamino acid surfactant under the catalysis of lipase CALB. Alternatively, Amano lipase M is used as a catalyst to efficiently catalyze the reaction of an amino acid containing a plurality of amino groups with a fatty acid to prepare a Gemini amino acid. The method of the disclosure does not need to undergo protection and deprotection of the amino acid, and does not involve commonly used fatty acid chlorides. Compared with the traditional chemical synthesis methods, the disclosure has the advantages of greenness, safety, high selectivity, high yield, etc., and has very important potential application value.
    Type: Grant
    Filed: December 31, 2020
    Date of Patent: May 3, 2022
    Assignee: Jiangnan University
    Inventors: Yuanfa Liu, Binbin Nian, Chen Cao, Zhaojun Zheng, Yongjiang Xu, Yinghong Zhai
  • Publication number: 20220132340
    Abstract: A system and method for using a wireless radio frequency (RF) data packet signaling link to enable non-link control of testing of a data packet signal transceiver device under test (DUT) in which a communication session between a tester and a DUT for purposes of testing the DUT may first be initiated by a separate, commonly available, and lower cost, communication device. Following its establishment, the tester may monitor the communication session, e.g., via wireless signal sniffing, to acquire and use associated device identification information to join the session and transmit trigger based test (TBT) data packets for initiating a test sequence within the DUT. Hence, use of a non-link capable tester to perform parametric testing of a DUT at the lowest network architecture layer, e.g., the physical (PHY) layer, may be enabled.
    Type: Application
    Filed: October 23, 2020
    Publication date: April 28, 2022
    Inventors: Christian Volf Olgaard, Ruizu Wang, Chen Cao
  • Publication number: 20220036647
    Abstract: A shape generation system can generate a three-dimensional (3D) model of an object from a two-dimensional (2D) image of the object by projecting vectors onto light cones created from the 2D image. The projected vectors can be used to more accurately create the 3D model of the object based on image element (e.g., pixel) values of the image.
    Type: Application
    Filed: October 12, 2021
    Publication date: February 3, 2022
    Inventors: Soumyadip Sengupta, Linjie Luo, Chen Cao, Menglei Chai
  • Patent number: D987038
    Type: Grant
    Filed: September 23, 2020
    Date of Patent: May 23, 2023
    Assignee: SHENZHEN INSOLIFE TECHNOLOGY CO., LTD.
    Inventor: Chen Cao