Title :
Dominant point matching algorithm
Author_Institution :
Dept. of Comput. Studies, Hong Kong Baptist Coll., Hong Kong
Abstract :
A novel dominant point matching algorithm is designed and developed for occluded object recognition. The developed algorithm is capable of grouping all scattered dominant points on an object boundary, due to occlusion, into a single representation for recognition. A set of handtools is selected to evaluate the performance of the algorithm and the results are encouraging.
Keywords :
computer vision; image recognition; computer vision; dominant point matching algorithm; handtools; occluded object recognition; scattered dominant points grouping;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19931350
