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IEAAIE
2007
Springer

Phase-Based Feature Matching Under Illumination Variances

10 years 5 months ago
Phase-Based Feature Matching Under Illumination Variances
The problem of matching feature points in multiple images is difficult to solve when their appearance changes due to illumination variance, either by lighting or object motion. In this paper we tackle this ill-posed problem by using the difference of local phase which is known to be stable to a certain extent even under illumination variances. In order to realize a precise matching, we basically compute the local phase by convolutions with Gabor filters which we design in multi scales. We then evaluate the stability of local phase against lighting changes. Through experiments using both CG and real images that are with illumination variance, we show the relevancy of our theoretical investigations. Key words: computer vision, feature matching, local phase, Gabor filters, illumination.
Masaaki Nishino, Atsuto Maki, Takashi Matsuyama
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where IEAAIE
Authors Masaaki Nishino, Atsuto Maki, Takashi Matsuyama
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