Abstract
Humans recognize many objects effortlessly. A chair is easily recognized by us; so is a screwdriver. Biederman roughly estimates that a six-year-old can recognize 30,000 distinguishable objects at a time when his vocabulary is roughly 10,000 words [Bie87]. In order to construct flexible robots for industry, navigation, and the home, computer vision must provide the capability of recognizing many of these objects. Objects need to be recognized for inspection, for grasping and manipulation, including assembly, or, in order to attack them or plan path around them. However, current vision systems don’t come close to the recognition ability of a six-year old.
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© 1990 Springer-Verlag New York, Inc.
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Stockman, G. (1990). Object Recognition. In: Jain, R.C., Jain, A.K. (eds) Analysis and Interpretation of Range Images. Springer Series in Perception Engineering. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3360-2_5
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DOI: https://doi.org/10.1007/978-1-4612-3360-2_5
Publisher Name: Springer, New York, NY
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Online ISBN: 978-1-4612-3360-2
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