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Title:
DEPTH ESTIMATION METHOD, DEVICE, ELECTRONIC EQUIPMENT AND COMPUTER READABLE STORAGE MEDIUM
Document Type and Number:
WIPO Patent Application WO/2022/124607
Kind Code:
A1
Abstract:
The present application provides a depth estimation method, device, electronic equipment, and computer-readable storage medium. The related steps of depth estimation in this solution can be processed by an artificial intelligence module. The solution maps the image to be processed to a preset plane to obtain position information of each pixel of the image to be processed on the preset imaging plane, and use the position information of each pixel in the image to be processed in the preset imaging plane in the depth estimation process to eliminate the influence of camera parameters on a depth estimation range, such that the same network model can estimate the depth of the image to be processed corresponding to different camera parameters. While ensuring a wide range of depth estimation, the solution saves computing resources and storage space.

Inventors:
LIU ZIKUN (CN)
LEI JUAN (CN)
ZHANG JIANXING (CN)
LIU WEN (CN)
LI CHUNYANG (CN)
YANG JIAN (CN)
WEN WEI (CN)
CHUN HYUNGJU (CN)
CHOI JONGBUM (CN)
Application Number:
PCT/KR2021/016579
Publication Date:
June 16, 2022
Filing Date:
November 12, 2021
Export Citation:
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Assignee:
SAMSUNG ELECTRONICS CO LTD (KR)
International Classes:
G06T7/50; G06T3/40; G06T5/50; G06T7/70
Foreign References:
KR102074929B12020-02-07
US20200098184A12020-03-26
US9124874B22015-09-01
Other References:
LU YAWEN; SARKIS MICHEL; LU GUOYU: "Multi-Task Learning for Single Image Depth Estimation and Segmentation Based on Unsupervised Network", 2020 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), IEEE, 31 May 2020 (2020-05-31), pages 10788 - 10794, XP033826063, DOI: 10.1109/ICRA40945.2020.9196723
LUKAS LIEBEL; MARCO KORNER: "MultiDepth: Single-Image Depth Estimation via Multi-Task Regression and Classification", ARXIV.ORG, CORNELL UNIVERSITY LIBRARY, 201 OLIN LIBRARY CORNELL UNIVERSITY ITHACA, NY 14853, 25 July 2019 (2019-07-25), 201 Olin Library Cornell University Ithaca, NY 14853 , XP081448933
Attorney, Agent or Firm:
Y.P.LEE, MOCK & PARTNERS (KR)
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