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ICPR
2010
IEEE

Triangle-Constraint for Finding More Good Features

9 years 2 months ago
Triangle-Constraint for Finding More Good Features
We present a novel method for finding more good feature pairs between two sets of features. We first select matched features by Bi-matching method as seed points, then organize these seed points by adopting the Delaunay triangulation algorithm. Finally, we use Triangle-Constraint (T-C) to increase both number of correct matches and matching score (the ratio between number of correct matches and total number of matches). The experimental evaluation shows that our method is robust to most of geometric and photometric transformations including rotation, scale change, blur, viewpoint change, JPEG compression and illumination change, and significantly improves both number of correct matches and matching score.
Xiaojie Guo, Xiaochun Cao
Added 08 Sep 2010
Updated 08 Sep 2010
Type Conference
Year 2010
Where ICPR
Authors Xiaojie Guo, Xiaochun Cao
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