Title :
Recognition of non-rigid objects
Author_Institution :
Hong Kong Baptist Univ., Hong Kong
Abstract :
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
Keywords :
computer vision; image recognition; image representation; object recognition; string matching; computer vision system; constant curvature arc segments; corners; nonrigid objects; orientation; performance; primitives; scaling; string matching technique; unknown object;
Conference_Titel :
Image Processing and its Applications, 1995., Fifth International Conference on
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-642-3
DOI :
10.1049/cp:19950625
