Geometric invariance in computer vision
Geometric invariance in computer vision
Conic Reconstruction and Correspondence From Two Views
IEEE Transactions on Pattern Analysis and Machine Intelligence
Self-Calibration of a Moving Camera from PointCorrespondences and Fundamental Matrices
International Journal of Computer Vision
The Geometry and Matching of Lines and Curves Over Multiple Views
International Journal of Computer Vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Projective Alignment with Regions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching Widely Separated Views Based on Affine Invariant Regions
International Journal of Computer Vision
View Matching with Blob Features
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
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This article introduces a new region based feature for object recognition and image matching. In contrast to many other region based features, this one makes use of colour in the feature extraction stage. We perform experiments on the repeatability rate of the features across scale and inclination angle changes, and show that avoiding to merge regions connected by only a few pixels improves the repeatability. We introduce two voting schemes that allow us to find correspondences automatically, and compare them with respect to the number of valid correspondences they give, and their inlier ratios. We also demonstrate how the matching procedure can be applied to colour correction.