Abstract
A robust local feature matching scheme for recognition of occluded objects is developed and reported in this letter. The proposed scheme is computation efficient and can handle the nonlinear distorted local features. 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) | 1223-1233 |
Number of pages | 11 |
Journal | Pattern Recognition Letters |
Volume | 15 |
Issue number | 12 |
DOIs | |
Publication status | Published - Dec 1994 |
Scopus Subject Areas
- Software
- Signal Processing
- Computer Vision and Pattern Recognition
- Artificial Intelligence
User-Defined Keywords
- Dominant point
- Local feature
- Occluded object recognition