Shift-Invariant And Distortion-Invariant Object Recognition

David Casasent; Vinod Sharma

doi:10.1117/12.937930

13 December 1983 Shift-Invariant And Distortion-Invariant Object Recognition

David Casasent, Vinod Sharma

Proceedings Volume 0442, Robotics and Robot Sensing Systems; (1983) https://doi.org/10.1117/12.937930
Event: 27th Annual Technical Symposium, 1983, San Diego, United States

Abstract

The problem of recognizing multiple objects in a highly cluttered background in the face of geometrical object distortions is addressed in this paper. A correlation architecture using a matched spatial filter of a synthetic discriminant function is employed to achieve the required performance. Synthesis of the synthetic discriminant function is discussed as is the initial performance obtained in the face of noise. Initial remarks are advanced on various methods to select the training set of images to use in this algorithm.

Citation Download Citation

David Casasent and Vinod Sharma "Shift-Invariant And Distortion-Invariant Object Recognition", Proc. SPIE 0442, Robotics and Robot Sensing Systems, (13 December 1983); https://doi.org/10.1117/12.937930

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