Stereo Matching with Supplementary Boundary Information

Kaito Hashimoto, Masaaki Ikehara

Research output: Chapter in Book/Report/Conference proceedingConference contribution


Stereo matching, which estimates the disparity of corresponding points in paired images, has problems with accuracy degraded by occlusion, repeated texture, texture-free areas, and gloss. To address this problem, we focused on object boundary information, which is less susceptible to such problems. This is because occlusion is more likely to occur at the boundaries, and even if the corresponding points disappear due to occlusion, the boundaries still have the corresponding parts. The boundary information is also robust to such problems because it is not affected by repeated textures, untextured areas, or gloss. Therefore, we propose a method for generating the boundary ground truth from the depth ground truth and develop a network and loss function for estimating the boundary information. We also propose that the accuracy can be improved by incorporating the estimated boundary information into a state-of-the-art network as an auxiliary.

Original languageEnglish
Title of host publication2023 IEEE International Conference on Consumer Electronics, ICCE 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665491303
Publication statusPublished - 2023
Event2023 IEEE International Conference on Consumer Electronics, ICCE 2023 - Las Vegas, United States
Duration: 2023 Jan 62023 Jan 8

Publication series

NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
ISSN (Print)0747-668X


Conference2023 IEEE International Conference on Consumer Electronics, ICCE 2023
Country/TerritoryUnited States
CityLas Vegas

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Electrical and Electronic Engineering


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