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Recognition of 3D nonrigid objects by learning view change transformations

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2 Author(s)
Maruyama, M. ; Central Res. Lab., Mitsubishi Electr. Corp., Hyogo, Japan ; Teraoka, T.

In this paper, we propose a method to recognize 3D nonrigid objects based on learning from examples without special knowledge on the target objects. We show the mappings from an arbitrary view to the standard view; and its rotated view can be synthesized even for a nonrigid object by interpolating examples given in the learning phase. Using such view change transformations obtained by learning, we can synthesize different views from a given input view. We show that the nonrigid object can be recognized by examining the consistency between the input view and the synthesized views.

Published in:

Neural Networks, 1993. IJCNN '93-Nagoya. Proceedings of 1993 International Joint Conference on  (Volume:1 )

Date of Conference:

25-29 Oct. 1993