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Advances in computational stereo

Brown, M.Z., Burschka, D., Hager, G.D.·2003·IEEE Transactions on Pattern Analysis and Machine Intelligence

Abstract

Extraction of three-dimensional structure of a scene from stereo images is a problem that has been studied by the computer vision community for decades. Early work focused on the fundamentals of image correspondence and stereo geometry. Stereo research has matured significantly throughout the years and many advances in computational stereo continue to be made, allowing stereo to be applied to new and more demanding problems. We review recent advances in computational stereo, focusing primarily on three important topics: correspondence methods, methods for occlusion, and real-time implementations. Throughout, we present tables that summarize and draw distinctions among key ideas and approaches. Where available, we provide comparative analyses and we make suggestions for analyses yet to be done.

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Metadata

Authors
Brown, M. Z., Burschka, D., & Hager, G. D.
Venue
IEEE Transactions on Pattern Analysis and Machine Intelligence
Published
2003-08
Volume
25
Issue
8
Pages
993-1008
ISSN
0162-8828 (ISSN-L)
OpenAlex
W1979846720
Cited by
1,132
References
2
FWCI
55.00
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advances in computational stereo. https://app.cochat.ai/papers/10.1109/tpami.2003.1217603
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Brown, M. Z., Burschka, D., & Hager, G. D. (2003). Advances in computational stereo. IEEE Transactions on Pattern Analysis and Machine Intelligence. https://doi.org/10.1109/tpami.2003.1217603

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