Abstract
The model data base is a key component of any recognition system. The data base encodes the high level knowledge about the objects which is needed for recognition. The global structure of the objects which is encoded in the models is used to understand and place in context the low level sensing information. The modeling system must be able to adequately model the complexity of the objects in the environment and it must contain enough structure to allow the low level sensory data to map into the model data base during the matching phase of the recognition cycle.
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© 1987 Kluwer Academic Publishers
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Allen, P.K. (1987). Model Data Base. In: Robotic Object Recognition Using Vision and Touch. The Kluwer International Series in Engineering and Computer Science, vol 34. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2005-0_2
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DOI: https://doi.org/10.1007/978-1-4613-2005-0_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4612-9196-1
Online ISBN: 978-1-4613-2005-0
eBook Packages: Springer Book Archive