Patents by Inventor Guozhen Li

Guozhen Li 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).

  • Publication number: 20220245792
    Abstract: The disclosure relates to system and method for image quality detection. The method may include: obtaining an image acquired by a camera; obtaining an image quality detection model, the image quality detection model being provided by training a machine learning model using a plurality of training samples; determining a detection result of the image using the image quality detection model; and in response to a determination that the detection result includes a quality anomaly of the image, generating a strategy in response to the quality anomaly.
    Type: Application
    Filed: April 11, 2022
    Publication date: August 4, 2022
    Applicant: BEIJING DIDI INFINITY TECHNOLOGY AND DEVELOPMENT CO., LTD.
    Inventors: Haitao GAO, Yifei ZHANG, Guozhen LI, Youzeng LI, Zhangxi YAN, Peilun LI
  • Patent number: 10778928
    Abstract: Provided are an apparatus and a method of inputting note information to an image of a shot object in order to display an image of a shot object in which the note information has been reflected.
    Type: Grant
    Filed: February 11, 2016
    Date of Patent: September 15, 2020
    Assignee: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Guozhen Li, Li Zhang, Shan Guo, Yan Wang
  • Publication number: 20180027206
    Abstract: Provided are an apparatus and a method of inputting note information to an image of a shot object in order to display an image of a shot object in which the note information has been reflected.
    Type: Application
    Filed: February 11, 2016
    Publication date: January 25, 2018
    Applicant: SAMSUNG ELECTRONICS CO., LTD.
    Inventors: Guozhen LI, Li ZHANG, Shan GUO, Yan WANG
  • Patent number: 8699817
    Abstract: An image reconstruction method includes receiving volume data comprising a plurality of sampling points, determining a first conditioning of the sampling points suppressing low amplitudes and conserving maximum amplitudes, determining a second conditioning of the sampling points wherein an influence of a sampling point depends on its distance to a grid point in a sampling grid, determining a kernel comprising a plurality of weighting functions for the first conditioning and the second conditioning to determine an energy spread of each of the plurality of sampling points without determining a shape or size of the kernel, and outputting a reconstructed volume according to the energy spread of each of the plurality of sampling points.
    Type: Grant
    Filed: September 26, 2011
    Date of Patent: April 15, 2014
    Assignees: Siemens Corporation, Siemens Energy, Inc.
    Inventors: Jingdan Zhang, Moritz Michael Knorr, Guozhen Li, Shaohua Kevin Zhou, El Mahjoub Rasselkorde, Waheed A. Abbasi, Michael J. Metala
  • Publication number: 20120128266
    Abstract: An image reconstruction method includes receiving volume data comprising a plurality of sampling points, determining a first conditioning of the sampling points suppressing low amplitudes and conserving maximum amplitudes, determining a second conditioning of the sampling points wherein an influence of a sampling point depends on its distance to a grid point in a sampling grid, determining a kernel comprising a plurality of weighting functions for the first conditioning and the second conditioning to determine an energy spread of each of the plurality of sampling points without determining a shape or size of the kernel, and outputting a reconstructed volume according to the energy spread of each of the plurality of sampling points.
    Type: Application
    Filed: September 26, 2011
    Publication date: May 24, 2012
    Applicants: Siemens Energy, Inc., Siemens Corporation
    Inventors: Jingdan Zhang, Moritz Michael Knorr, Guozhen Li, Shaohua Kevin Zhou, El Mahjoub Rasselkorde, Waheed A. Abbasi, Michael J. Metala