Abstract
Generic object recognition in mobile robots is of primary importance in order to enhance the representation of the environment that robots will use for their reasoning process. Towards this aim, the contribution of this paper is an invaluation of the SIFT Object Recognition method in a challenging dataset, focusing on issues relevant to mobile robotics. The method presented robustness to the typical problems of images acquired in the robotics domain, but its good performance was limited mainly to well-textured objects.
| Original language | English |
|---|---|
| Title of host publication | Artificial Intelligence Research and Development |
| Place of Publication | The Netherlands |
| Publisher | IOS Press |
| Pages | 9-18 |
| ISBN (Electronic) | 9781607504658 |
| ISBN (Print) | 9781607500612 |
| Publication status | Published - 2009 |