Classification of Range Surface Type Using Optically Generated Derivative Estimates

Suzanne A. Liebowitz; David P. Casasent

doi:10.1117/12.969738

1 March 1990 Classification of Range Surface Type Using Optically Generated Derivative Estimates

Suzanne A. Liebowitz, David P. Casasent

Proceedings Volume 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques; (1990) https://doi.org/10.1117/12.969738
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States

Abstract

We describe a technique to classify surface types from range data using local derivative estimates. We propose an optical architecture using acousto-optic devices to efficiently compute these derivatives. The derivative estimates are combined into curvature functions which are scale-, translation-, and rotation-invariant, and the surface types are determined from these curvature features. Results are presented for the classification of test range surfaces.

Citation Download Citation

Suzanne A. Liebowitz and David P. Casasent "Classification of Range Surface Type Using Optically Generated Derivative Estimates", Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); https://doi.org/10.1117/12.969738

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