A new affine invariant method for image matching

Jean-Louis Palomares; Philippe Montesinos; Daniel Diep

doi:10.1117/12.910219

30 January 2012 A new affine invariant method for image matching

Jean-Louis Palomares, Philippe Montesinos, Daniel Diep

Proceedings Volume 8290, Three-Dimensional Image Processing (3DIP) and Applications II; 82900Q (2012) https://doi.org/10.1117/12.910219
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

This paper describes a new approach in color or grey-scale image matching by points of interest. As many point matching methods, this method is based on two main steps : computation of points and descriptors, followed by a matching process. The points of interest are extracted thanks to the color Harris points detector, they are then described using rotating anisotropic half-gaussian derivative convolution kernels. The descriptors obtained by this filtering stage provide point signatures, robust enough to be recovered in another image even under important color and viewpoint transformations. The matching process uses a cross comparison of point signatures and a voting method to achieve a robust matching. This paper presents the new descriptor defined and the matching process dealing with the data issued from the descriptor.

Citation Download Citation

Jean-Louis Palomares, Philippe Montesinos, and Daniel Diep "A new affine invariant method for image matching", Proc. SPIE 8290, Three-Dimensional Image Processing (3DIP) and Applications II, 82900Q (30 January 2012); https://doi.org/10.1117/12.910219

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