Patents by Inventor Manjun YAN

Manjun YAN 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).

  • Pose estimation method, pose estimation apparatus, and training method for pose estimation
    Patent number: 11488320
    Abstract: A pose estimation method includes obtains an event stream from an event-based vision sensor configured to capture a target object to which light-emitting devices flickering at a predetermined first frequency are attached, obtains a polarity change period of at least one pixel based on the event stream, generates an image frame sequence using at least one target pixel having a polarity change period corresponding to the first frequency, among the at least one pixel, extracts a feature sequence including feature vectors corresponding to the at least one target pixel, from the image frame sequence, and estimates a pose sequence of the target object by applying the feature sequence to a deep neural network (DNN) model.
    Type: Grant
    Filed: July 30, 2020
    Date of Patent: November 1, 2022
    Assignee: Samsung Electronics Co., Ltd.
    Inventors: Huiguang Yang, Jiguang Xue, Zhuo Li, Chuangqi Tang, Xiongzhan Linghu, Yuguang Li, Liu Yang, Jian Zhao, Manjun Yan
  • POSE ESTIMATION METHOD, POSE ESTIMATION APPARATUS, AND TRAINING METHOD FOR POSE ESTIMATION
    Publication number: 20210035325
    Abstract: A pose estimation method includes obtains an event stream from an event-based vision sensor configured to capture a target object to which light-emitting devices flickering at a predetermined first frequency are attached, obtains a polarity change period of at least one pixel based on the event stream, generates an image frame sequence using at least one target pixel having a polarity change period corresponding to the first frequency, among the at least one pixel, extracts a feature sequence including feature vectors corresponding to the at least one target pixel, from the image frame sequence, and estimates a pose sequence of the target object by applying the feature sequence to a deep neural network (DNN) model.
    Type: Application
    Filed: July 30, 2020
    Publication date: February 4, 2021
    Applicant: Samsung Electronics Co., Ltd.
    Inventors: Huiguang YANG, Jiguang XUE, Zhuo LI, Chuangqi TANG, Xiongzhan LINGHU, Yuguang LI, Liu YANG, Jian ZHAO, Manjun YAN