Object Identification And Orientation Estimation From Contours Based On An Affine Invariant Curvature

David Cyganski; T.Andrew Cott; John A. Orr; Reynold J. Dodson

doi:10.1117/12.942717

19 February 1988 Object Identification And Orientation Estimation From Contours Based On An Affine Invariant Curvature

David Cyganski, T.Andrew Cott, John A. Orr, Reynold J. Dodson

Proceedings Volume 0848, Intelligent Robots and Computer Vision VI; (1988) https://doi.org/10.1117/12.942717
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States

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.

Citation Download Citation

David Cyganski, T.Andrew Cott, John A. Orr, and Reynold J. Dodson "Object Identification And Orientation Estimation From Contours Based On An Affine Invariant Curvature", Proc. SPIE 0848, Intelligent Robots and Computer Vision VI, (19 February 1988); https://doi.org/10.1117/12.942717

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