Patents by Inventor Junkai Wu

Junkai Wu 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).

  • Apparatus and method for optimized image stitching based on optical flow
    Patent number: 11748952
    Abstract: An apparatus and method for efficient image optimized image stitching. For example, one embodiment of an apparatus comprises: feature search area identification circuitry/logic to narrow down a feature search area based on possible overlap between two image frames; feature detection circuitry/logic to identify a plurality of feature points in a first image frame of the two image frames; feature matching circuitry/logic to map one or more of the plurality of feature points from the first image frame to corresponding feature points in the right image frame; image frame stitching and blending circuitry/logic to stitch the first image frame and second image frame based on the mapping of the feature points between the two image frames and to blend a portion of the first image frame with a portion of the second image frame.
    Type: Grant
    Filed: September 27, 2017
    Date of Patent: September 5, 2023
    Assignee: Intel Corporation
    Inventors: Feng Yuan, Wei Zong, Juan Zhao, Junkai Wu
  • Tone-mapping high dynamic range images
    Patent number: 10943336
    Abstract: A tone-mapping technique based on bidirectional logarithm stretch enhances the luminance contrast of not only the dark areas but also the bright areas. In other words, the algorithm not only maps the dark pixels brighter but also map the bright pixels darker.
    Type: Grant
    Filed: August 4, 2016
    Date of Patent: March 9, 2021
    Assignee: Intel Corporation
    Inventors: Junkai Wu, Feng W. Yuan
  • APPARATUS AND METHOD FOR OPTIMIZED IMAGE STITCHING BASED ON OPTICAL FLOW
    Publication number: 20200349769
    Abstract: An apparatus and method for efficient image optimized image stitching. For example, one embodiment of an apparatus comprises: feature search area identification circuitry/logic to narrow down a feature search area based on possible overlap between two image frames; feature detection circuitry/logic to identify a plurality of feature points in a first image frame of the two image frames; feature matching circuitry/logic to map one or more of the plurality of feature points from the first image frame to corresponding feature points in the right image frame; image frame stitching and blending circuitry/logic to stitch the first image frame and second image frame based on the mapping of the feature points between the two image frames and to blend a portion of the first image frame with a portion of the second image frame.
    Type: Application
    Filed: September 27, 2017
    Publication date: November 5, 2020
    Inventors: Feng YUAN, Wei ZONG, Juan ZHAO, Junkai WU
  • TONE-MAPPING HIGH DYNAMIC RANGE IMAGES
    Publication number: 20190228511
    Abstract: A tone-mapping technique based on bidirectional logarithm stretch enhances the luminance contrast of not only the dark areas but also the bright areas. In other words, the algorithm not only maps the dark pixels brighter but also map the bright pixels darker.
    Type: Application
    Filed: August 4, 2016
    Publication date: July 25, 2019
    Applicant: Intel Corporation
    Inventors: Junkai WU, Feng W. YUAN
  • Method and system of feature matching for multiple images
    Patent number: 9965861
    Abstract: A system, article, and method of feature matching for multiple images.
    Type: Grant
    Filed: March 17, 2015
    Date of Patent: May 8, 2018
    Assignee: Intel Corporation
    Inventors: Junkai Wu, Yong Jiang, Yi Wu
  • METHOD AND SYSTEM OF FEATURE MATCHING FOR MULTIPLE IMAGES
    Publication number: 20160188994
    Abstract: A system, article, and method of feature matching for multiple images.
    Type: Application
    Filed: March 17, 2015
    Publication date: June 30, 2016
    Inventors: Junkai Wu, Yong Jiang, Yi Wu