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13

ROBOCUP
2004
Springer

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Realtime Object Recognition Using Decision Tree Learning

13 years 9 months ago

Realtime Object Recognition Using Decision Tree Learning

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Abstract. An object recognition process in general is designed as a domain speciﬁc, highly specialized task. As the complexity of such a process tends to be rather inestimable, machine learning is used to achieve better results in recognition. The goal of the process presented in this paper is the computation of the pose of a visible robot, i. e. the distance, angle, and orientation. The recognition process itself, the division into subtasks, as well as the results of the process are presented. The algorithms involved have been implemented and tested on a Sony Aibo.

Dirk Wilking, Thomas Röfer

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Domain Speciﬁc | Object Recognition Process | Recognition Process | ROBOCUP 2004 |

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Added	02 Jul 2010
Updated	02 Jul 2010
Type	Conference
Year	2004
Where	ROBOCUP
Authors	Dirk Wilking, Thomas Röfer

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