Stereo Matching with Supplementary Boundary Information

Kaito Hashimoto, Masaaki Ikehara

研究成果: Conference 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.

ホスト出版物のタイトル2023 IEEE International Conference on Consumer Electronics, ICCE 2023
出版社Institute of Electrical and Electronics Engineers Inc.
出版ステータスPublished - 2023
イベント2023 IEEE International Conference on Consumer Electronics, ICCE 2023 - Las Vegas, United States
継続期間: 2023 1月 62023 1月 8


名前Digest of Technical Papers - IEEE International Conference on Consumer Electronics


Conference2023 IEEE International Conference on Consumer Electronics, ICCE 2023
国/地域United States
CityLas Vegas

ASJC Scopus subject areas

  • 産業および生産工学
  • 電子工学および電気工学


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