Abstract
A local feature detection scheme for the recognition of occluded objects is developed and reported in this paper. A 3-point matching algorithm is developed to reduce the local feature matching trial. An elastic matching technique using dynamic programming provides the capability of handling the non-linearly distorted features. Also, the proposed scheme is computationally efficient. A set of handtools is selected to evaluate the performance of the algorithm, and the results are encouraging.
| Original language | English |
|---|---|
| Pages (from-to) | 179-187 |
| Number of pages | 9 |
| Journal | Image and Vision Computing |
| Volume | 13 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - Apr 1995 |
Scopus Subject Areas
- Signal Processing
- Computer Vision and Pattern Recognition
User-Defined Keywords
- 3-point matching
- elastic matching technique
- feature detection
- object recognition