Name
Abstract | ||
|---|---|---|
This paper presents an approach to the local stereovision matching problem using edge segments as features with four attributes. In this paper we design a Support Vector Machine classifier for solving the stereovision matching problem. We obtain a matching decision function to classify a pair of features as a true or false match. The use of such classifier makes up the main finding of the paper. A comparative analysis among other existing approaches is included to show that this finding can be justified theoretically. From these investigations, we conclude that the performance of the proposed method is appropriate for this task. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1016/S0167-8655(03)00102-8 | Pattern Recognition Letters |
Keywords | DocType | Volume |
justified theoretically,support vector machines,support vector machine,stereovision matching problem,matching decision function,edge segment,classifier,support vector machine classifier,local stereovision,stereovision,comparative analysis,main finding,existing approach,false match,stereovision matching,matching | Journal | 24 |
Issue | ISSN | Citations |
15 | Pattern Recognition Letters | 4 |
PageRank | References | Authors |
0.42 | 15 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gonzalo Pajares | 1 | 699 | 57.18 |
| Jesús M. de la Cruz | 2 | 56 | 5.62 |