Planar Numerical Signature Theory Applied to Object Recognition

Abstract

Geometric invariants play a crucial role in the field of object recognition where the objects of interest are affected by a group of transformations. However, designing robust algorithms that are tolerant to noise and image occlusion remains an open problem. In particular, numerical signature-invariants in terms of joint invariants, as an approximation to… (More)
DOI: 10.1007/s10851-013-0427-6

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Cite this paper

@article{Aghayan2013PlanarNS, title={Planar Numerical Signature Theory Applied to Object Recognition}, author={Reza Aghayan and Tim J. Ellis and Jamshid Dehmeshki}, journal={Journal of Mathematical Imaging and Vision}, year={2013}, volume={48}, pages={583-605} }