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Recognition of non-rigid objects

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1 Author(s)
Yuen, P.C. ; Hong Kong Baptist Univ., Hong Kong

The framework of a computer vision system to recognize non-rigid objects is designed and developed. Constant curvature arc segments and corners which are invariant to an object's orientation and scaling, are selected as primitives of the object. To identify an unknown object based on detected primitives, a string matching technique is developed. A set of handtools is employed to evaluate the performance of the system and the results are encouraging

Published in:

Image Processing and its Applications, 1995., Fifth International Conference on

Date of Conference:

4-6 Jul 1995