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Noise resistant projective and affine invariants
Weiss, I.  
Center for Autom. Res., Maryland Univ., College Park, MD;

This paper appears in: Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Publication Date: 15-18 Jun 1992
On page(s): 115-121
Meeting Date: 06/15/1992 - 06/18/1992
Location: Champaign, IL, USA
ISBN: 0-8186-2855-3
References Cited: 14
INSPEC Accession Number: 4391253
Digital Object Identifier: 10.1109/CVPR.1992.223218
Current Version Published: 2002-08-06

Abstract
A method of obtaining local projective and affine invariants that is more robust than existing methods is presented. These shape descriptors are useful for object recognition because they eliminate the search for the unknown viewpoint. Being local, these invariants are much less sensitive to occlusion than the global ones used elsewhere. The basic ideas are (i) using an implicit curve representation without a curve parameter, thus increasing robustness; and (ii) using a canonical coordinate system which is defined by the intrinsic properties of the shape, regardless of any given coordinate system, and is thus invariant. Several configurations are treated: a general curve without any correspondence, and curves with known correspondence of feature points or lines

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