Large-scale tests of a keyed, appearance-based 3-D object recognition system.

R C Nelson; A Selinger

doi:10.1016/s0042-6989(98)00030-3

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Large-scale tests of a keyed, appearance-based 3-D object recognition system.

R C Nelson·A Selinger

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Abstract

We describe and analyze an appearance-based 3-D object recognition system that avoids some of the problems of previous appearance-based schemes. We describe various large-scale performance tests and report good performance for full-sphere/hemisphere recognition of up to 24 complex, curved objects, robustness against clutter and occlusion, and some intriguing generic recognition behavior. We also establish a protocol that permits performance in the presence of quantifiable amounts of clutter and occlusion to be predicted on the basis of simple score statistics derived from clean test images and pure clutter images.

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Computer Simulation Depth Perception Form Perception Humans Learning Models, Statistical Psychophysics Journal Article Research Support, U.S. Gov't, Non-P.H.S.

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R C Nelson, A Selinger. 1998. Large-scale tests of a keyed, appearance-based 3-D object recognition system.. https://doi.org/10.1016/s0042-6989(98)00030-3

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