| Article ID: | iaor1997318 |
| Country: | United States |
| Volume: | 13 |
| Issue: | 3 |
| Start Page Number: | 179 |
| End Page Number: | 187 |
| Publication Date: | Jul 1995 |
| Journal: | Image and Vision Computing |
| Authors: | Yuen P.C., Tsang P.W.M. |
| Keywords: | pattern recognition |
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.