Wide baseline stereo matching

Conference item

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.

Authors: Pritchett, P; Zisserman, A

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: IEEE
• Host title: Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271)
• Pages: 754-760
• Publication date: 2002-08-06
• Event title: 6th IEEE International Conference on Computer Vision (ICCV 1998)
• Event location: Bombay, India
• Event start date: 1998-01-04
• Event end date: 1998-01-07
• DOI: 10.1109/iccv.1998.710802
• ISBN: 8173192219
• Language: English
• Keywords: robustness; robotics and automation; layout; image reconstruction; computational geometry; information geometry; calibration; cameras; current measurement; robot vision systems