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.
Original language | English |
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Pages (from-to) | 2023-2024 |
Number of pages | 2 |
Journal | Electronics Letters |
Volume | 29 |
Issue number | 23 |
DOIs | |
Publication status | Published - Nov 1993 |
Scopus Subject Areas
- Electrical and Electronic Engineering
User-Defined Keywords
- Computer vision
- Image recognition