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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/9850

Title: An efficient two steps algorithm for wide baseline image matching
Authors: ANCUTI, Cosmin
ANCUTI, Codruta
BEKAERT, Philippe
Issue Date: 2009
Publisher: SPRINGER
Citation: VISUAL COMPUTER, 25(5-7). p. 677-686
Abstract: A recent study (Int. J. Comput. Vis. 73(3), 263-284, 2007) has shown that none of the detector/descriptor combinations perform well when the camera viewpoint is changed with more than 25-30A degrees. In this paper we introduce an efficient two-step method that increases significantly the number of correct matches of wide separated views of a given 3D scenes. First, a few kernel correspondences are identified in the images and then, based on their neighbor information, the geometric distortion that relates the surrounding regions of these seed keypoints is estimated iteratively. Next, based on these estimated parameters combined with a rough segmentation that reduces the searching space of the keypoint descriptors, the neighbor regions around every keypoint are warped accordingly. In our experiments the method has been tested extensively, yielding promising results over a wide range of viewpoints of known 3D models images.
Notes: [Ancuti, Cosmin; Ancuti, Codruta Orniana; Bekaert, Philippe] Hasselt Univ, Expertise Ctr Digital Media, tUL, IBBT, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/9850
DOI: 10.1007/s00371-009-0353-1
ISI #: 000265539300033
ISSN: 0178-2789
Category: A1
Type: Journal Contribution
Validation: ecoom, 2010
Appears in Collections: Research publications

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