Patents by Inventor Donghyeon CHO

Donghyeon CHO 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).

  • Deep learning-based image stitching method and apparatus
    Patent number: 11900561
    Abstract: A deep learning-based image stitching method and apparatus are provided. The deep learning-based image stitching method includes receiving a plurality of images including a first image and a second image stitched to the first image, extracting a feature map of the plurality of images, generating a plurality of flow maps indicating movement information of pixels of the plurality of images, based on the feature map, generating a plurality of warping images in which the pixels of the plurality of images are moved, by applying the plurality of flow maps to the plurality of images, respectively, generating a plurality of weight maps for blending the plurality of warping images, based on the feature map, and generating a stitch image in which the first image and the second image are stitched, by blending the plurality of warping images based on the plurality of weight maps.
    Type: Grant
    Filed: November 22, 2021
    Date of Patent: February 13, 2024
    Assignees: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE, THE INDUSTRY & ACADEMIC COOPERATION IN CHUNGNAM NATIONAL UNIVERSITY
    Inventors: Gi Mun Um, Hee Kyung Lee, Dae-Young Song, Donghyeon Cho
  • DEEP LEARNING-BASED IMAGE STITCHING METHOD AND APPARATUS
    Publication number: 20220164922
    Abstract: A deep learning-based image stitching method and apparatus are provided. The deep learning-based image stitching method includes receiving a plurality of images including a first image and a second image stitched to the first image, extracting a feature map of the plurality of images, generating a plurality of flow maps indicating movement information of pixels of the plurality of images, based on the feature map, generating a plurality of warping images in which the pixels of the plurality of images are moved, by applying the plurality of flow maps to the plurality of images, respectively, generating a plurality of weight maps for blending the plurality of warping images, based on the feature map, and generating a stitch image in which the first image and the second image are stitched, by blending the plurality of warping images based on the plurality of weight maps.
    Type: Application
    Filed: November 22, 2021
    Publication date: May 26, 2022
    Inventors: Gi Mun UM, Hee Kyung LEE, Dae-Young SONG, Donghyeon CHO
  • METHOD AND DEVICE FOR HIERARCHICAL LEARNING OF NEURAL NETWORK, BASED ON WEAKLY SUPERVISED LEARNING
    Publication number: 20200327409
    Abstract: The present disclosure relates to an artificial intelligence (AI) system for simulating functions of the human brain, such as cognition and determination, by using a machine learning algorithm, such as deep learning, and to an application of the AI system.
    Type: Application
    Filed: November 16, 2017
    Publication date: October 15, 2020
    Applicants: SAMSUNG ELECTRONICS CO., LTD., KOREA ADVANCED INSTITUTE OF SCIENCE AND TECHNOLOGY
    Inventors: Kyung-su KIM, In So KWEON, Dahun KIM, Donghyeon CHO, Sung-Jin KIM