Large-Scale tests of a Keyed, Appearance-Based 3-D Object Recognition System (1998)
| Venue: | Vision Research |
| Citations: | 32 - 7 self |
BibTeX
@ARTICLE{Nelson98large-scaletests,
author = {Randal C. Nelson and Andrea Selinger},
title = {Large-Scale tests of a Keyed, Appearance-Based 3-D Object Recognition System},
journal = {Vision Research},
year = {1998},
volume = {38},
pages = {38--15}
}
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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. Key Words: Object recognition, Appearance-based representations, Visual learning. 1 Introduction Object recognition has been an important and much-researched problem in the study of both machine and human vision. Until recently, the most successful computational work on object recognition has used model-based approaches in which the image is matched against explicitly repre...
