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3-D object recognition from range images by using a model-based Hopfield-style matching algorithm

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3 Author(s)
Hongbin Zha ; Graduate Sch. of Inf. Sci., Kyushu Univ., Fukuoka, Japan ; Nanamegi, H. ; Nagata, T.

A new method is proposed for recognizing 3-D objects by using a Hopfield-style optimization algorithm based on matching between patch-based image and model descriptions. To obtain the image descriptions, range images are employed to extract reliable high-level patch features. In the optimization process the objective function is a Liapunov function that is minimized in a Hopfield net with its interconnections encoding the imposed geometrical constraints on the model descriptions. At first, the paper describes a pre-processing method for deriving the necessary image description. It then presents the structure of the used Hopfield net which is able to recognize multiple objects all at once

Published in:

Pattern Recognition, 1996., Proceedings of the 13th International Conference on  (Volume:4 )

Date of Conference:

25-29 Aug 1996