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Cited by 279

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Wide baseline stereo matching

Pritchett, P., Zisserman, A.·2002·Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271)

Abstract

The objective of this work is to enlarge the class of camera motions for which epipolar geometry and image correspondences can be computed automatically. This facilitates matching between quite disparate views-wide baseline stereo. Two extensions are made to the current small baseline algorithms: first, and most importantly, a viewpoint invariant measure is developed for assessing the affinity of corner neighbourhoods over image pairs; second, algorithms are given for generating putative corner matches between image pairs using local homographies. Two novel infrastructure developments are also described: the automatic generation of local homographies, and the combination of possibly conflicting sets of matches prior to RANSAC estimation. The wide baseline matching algorithm is demonstrated on a number of image pairs with varying relative motion, and for different scene types. All processing is automatic.

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Metadata

Authors
Pritchett, P., & Zisserman, A.
Venue
Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271)
Published
2002-11-27
Pages
754-760
OpenAlex
W2143753158
Cited by
279
References
2
FWCI
23.33
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Wide baseline stereo matching. https://app.cochat.ai/papers/10.1109/iccv.1998.710802
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Pritchett, P., & Zisserman, A. (2002). Wide baseline stereo matching. Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271). https://doi.org/10.1109/iccv.1998.710802

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