Summary
Real-time object recognition is, of course, one of the most important and attractive requirements in robot vision. Many methods have been developed for pattern recognition. Among these, correlation methods are of great importance. Shift and rotation invariances are the basic problem in recognition. A conventional matched spatial filter system is shift invariant but its shortcoming is that only objects in known orientations can be recognized.
The method presented in this paper preserves shift invariance while adding rotation invariance. Digital as well as optical implementations are presented.
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© 1987 Hermes, Paris
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Macukow, B. (1987). A Method of Optical Processing in the Robot Vision. In: Morecki, A., Bianchi, G., Kędzior, K. (eds) RoManSy 6. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-6915-8_38
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DOI: https://doi.org/10.1007/978-1-4684-6915-8_38
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4684-6917-2
Online ISBN: 978-1-4684-6915-8
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