Abstract
In this article we proposed an improved SIFT-based object recognition methodology for robot applications. This methodology is employed for implementing a robot-head detection system, which is the main component of a robot gaze direction determination system. Gaze direction determination of robots is an important ability to be developed. It can be used for enhancing cooperative and competitive skills in situations where the robots interacting abilities are important, as for example, robot soccer. Experimental results of the implemented robot-head detection system are presented. © Springer-Verlag Berlin Heidelberg 2005.
Cite
CITATION STYLE
Loncomilla, P., & Ruiz-Del-Solar, J. (2005). Improving SIFT-based object recognition for robot applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3617 LNCS, pp. 1084–1092). https://doi.org/10.1007/11553595_133
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