Rethinking the prior model for stereo

Hiroshi Ishikawa*, Davi Geiger

*この研究の対応する著者

研究成果: Conference contribution

15 被引用数 (Scopus)

抄録

Sometimes called the smoothing assumption, the prior model of a stereo matching algorithm is the algorithm's expectation on the surfaces in the world. Any stereo algorithm makes assumptions about the probability to see each surface that can be represented in its representation system. Although the past decade has seen much continued progress in stereo matching algorithms, the prior models used in them have not changed much in three decades: most algorithms still use a smoothing prior that minimizes some function of the difference of depths between neighboring sites, sometimes allowing for discontinuities. However, one system seems to use a very different prior model from all other systems: the human vision system. In this paper, we first report the observations we made in examining human disparity interpolation using stereo pairs with sparse identifiable features. Then we mathematically analyze the implication of using current prior models and explain why the human system seems to use a model that is not only different but in a sense diametrically opposite from all current models. Finally, we propose two candidate models that reflect the behavior of human vision. Although the two models look very different, we show that they are closely related.

本文言語English
ホスト出版物のタイトルComputer Vision - ECCV 2006, 9th European Conference on Computer Vision, Proceedings
出版社Springer Verlag
ページ526-537
ページ数12
ISBN(印刷版)3540338365, 9783540338369
DOI
出版ステータスPublished - 2006 1 1
外部発表はい
イベント9th European Conference on Computer Vision, ECCV 2006 - Graz, Austria
継続期間: 2006 5 72006 5 13

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
3953 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Conference

Conference9th European Conference on Computer Vision, ECCV 2006
国/地域Austria
CityGraz
Period06/5/706/5/13

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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