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公开(公告)号:US20250061596A1
公开(公告)日:2025-02-20
申请号:US18806829
申请日:2024-08-16
Applicant: Electronics and Telecommunications Research Institute , The Trustees of Indiana University
Inventor: Soon-heung JUNG , Vibhas Kumar VATS , David J. CRANDALL , MD Alimoor REZA , Sripad JOSHI
IPC: G06T7/55
Abstract: A training method and device for estimating depth information of an image are disclosed. The training method may include obtaining depth information of a first image according to a resolution based on the first image, and outputting a per-pixel depth error of the first image based on the depth information of the first image, depth information of a second image, and camera parameters.
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公开(公告)号:US20180060682A1
公开(公告)日:2018-03-01
申请号:US15662616
申请日:2017-07-28
Inventor: Yong Ju CHO , Soon-heung JUNG , Hyun Cheol KIM , Jeongil SEO , Joo Myoung SEOK , Sangwoo AHN , Seung Jun YANG , Injae LEE , Hee Kyung LEE , Seong Yong LIM
CPC classification number: G06K9/20 , G06K9/00771 , G06K2009/2045 , G06T3/0081 , G06T3/4038 , H04N5/23238 , H04N5/2622 , H04N9/097 , H04N13/225 , H04N13/239 , H04N2013/0088
Abstract: Provided is a parallax minimization stitching method and apparatus using control points in an overlapping region. A parallax minimization stitching method may include defining a plurality of control points in an overlapping region of a first image and a second image received from a plurality of cameras, performing a first geometric correction by applying a homography to the control points, defining a plurality of patches based on the control points, and performing a second geometric correction by mapping the patches.
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公开(公告)号:US20230169671A1
公开(公告)日:2023-06-01
申请号:US17535921
申请日:2021-11-26
Applicant: Electronics and Telecommunications Research Institute , The Trustees of Indiana University
Inventor: Soon-heung JUNG , Jeongil SEO , David Crandall , Md Alimoor Reza
CPC classification number: G06T7/593 , G06V10/7715 , G06T2207/20081 , G06T2207/20084
Abstract: A depth estimation method and apparatus using a learning model are disclosed. A depth information estimation method may include identifying a plurality of image data, generating feature maps of the plurality of image data respectively, generating a cost volume using the feature maps, generating normalized cost volumes in different sizes by normalizing the cost volume, estimating disparity information from the normalized cost volumes, and generating depth information using the estimated disparity information.
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