Hypergeometric filters for optical flow and affine matching

Yalin Xiong, S.A. Shafer
Proceedings of IEEE International Conference on Computer Vision  
This paper proposes new hypergeometric" lters for the problem of image matching under the translational and a ne model. This new set of lters has the following advantages: 1 High-precision registration of two images under the translational and a ne model. Because the window e ects are eliminated, we are able to achieve superb performance i n b oth translational and a ne matching. 2 A ne matching without exhaustive search or image warping. Due to the recursiveness of the lters in the spatial
more » ... in, we are able to analytically express the relation between lter outputs and the six a ne parameters. This analytical relation enables us to directly compute these a ne parameters. 3 Generality. The approach we demonstrate here can be applied t o a b r oad class of matching problems, as long as the transformation between the two image patches can be mathematically represented in the frequency domain.
doi:10.1109/iccv.1995.466860 dblp:conf/iccv/XiongS95 fatcat:6tsorq2yrfb3nf3k2g5rywoe3m