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Evaluation of the SIFT Object Recognition Method in Mobile Robots
Arnau Ramisa, Shrihari Vasudevan, David Aldavert, Ricardo Toledo, Ramon Lopez de Mantaras
9 - 18
10.3233/978-1-60750-061-2-9
Frontiers in Artificial Intelligence and Applications
Volume 202: Artificial Intelligence Research and Development
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 processes. Towards this aim, the contribution of this paper is an evaluation 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.

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