Performance of optical flow techniques
International Journal of Computer Vision
Face recognition by elastic bunch graph matching
Intelligent biometric techniques in fingerprint and face recognition
Stability of Phase Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Local Fourir Phase and Disparity Estimates: An Analytical Study
CAIP '95 Proceedings of the 6th International Conference on Computer Analysis of Images and Patterns
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
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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.