DMCA
HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects (1996)
| Venue: | IEEE Transactions on Pattern Analysis and Machine Intelligence |
| Citations: | 152 - 5 self |
BibTeX
@ARTICLE{Ayache96hyper:a,
author = {Nicholas Ayache and Olivier D},
title = {HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects},
journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
year = {1996}
}
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Abstract
Abstract-A new method has been designed to identify and locate objects lying on a flat surface. The merit of the approach is to provide strong robustness to partial occlusions (due for instance to uneven lighting conditions, shadows, highlights, touching and overlapping objects) thanks to a local and compact description of the objects boundaries and to a new fast recognition method involving generation and recursive evaluation of hypotheses named HYPER (HYpotheses Predicted and Evaluated Recursively). The method has been integrated within a vision system coupled to an indutrial robot arm, to provide automatk picking and repositioning of partially overlapping industrial parts. Index Terms-Computer vision, occlusions, robotics, scene analysis, shape recognition. I.
Keyphrases
new approach two-dimensional object scene analysis object boundary evaluated recursively uneven lighting condition industrial part index terms-computer vision shape recognition strong robustness compact description flat surface new fast recognition method partial occlusion hypothesis predicted abstract-a new method recursive evaluation vision system indutrial robot arm
