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Proceedings Paper

Object Identification And Orientation Estimation From Contours Based On An Affine Invariant Curvature
Author(s): David Cyganski; T.Andrew Cott; John A. Orr; Reynold J. Dodson
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Paper Abstract

New methods of image matching and of calculation of the affine transformation relating two images of an object in different orientations are developed. These methods are applicable to contours extracted from images of planar-patch objects. The approach is based on a new definition of a curvature function (previously developed by the authors) which is invariant to all image distortions representable by affine transformations. The algorithm is implemented and tested using camera-acquired images of actual objects, and is seen to exhibit considerable robustness to real-world distortions in the imaging process, as well as to deviations from planarity of the objects.

Paper Details

Date Published: 19 February 1988
PDF: 7 pages
Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); doi: 10.1117/12.942717
Show Author Affiliations
David Cyganski, Worcester Polytechnic Institute (United States)
T.Andrew Cott, Worcester Polytechnic Institute (United States)
John A. Orr, Worcester Polytechnic Institute (United States)
Reynold J. Dodson, Worcester Polytechnic Institute (United States)


Published in SPIE Proceedings Vol. 0848:
Intelligent Robots and Computer Vision VI
David P. Casasent; Ernest L. Hall, Editor(s)

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