DocumentCode :
2989912
Title :
Peripersonal space and object recognition for humanoids
Author :
Goerick, Christian ; Wersing, Heiko ; Mikhailova, Inna ; Dunn, Mark
Author_Institution :
Honda Res. Inst. Eur. GmbH, Main
fYear :
2005
fDate :
5-5 Dec. 2005
Firstpage :
387
Lastpage :
392
Abstract :
This work is concerned with a framework for visual object recognition in real world tasks. Our approach is motivated by biological findings of the representation of space around the body, the so-called peripersonal space. We show that the principles behind those findings can lead to a natural structuring of object recognition tasks in artificial systems. We demonstrate this by the supervised learning and recognition of 20 complex-shaped objects from unsegmented visual input
Keywords :
humanoid robots; object recognition; robot vision; artificial systems; humanoid vision system; peripersonal space; supervised learning; unsegmented visual input; visual object recognition; Biological systems; Europe; Humans; Intelligent systems; Machine vision; Neurons; Object recognition; Physiology; Psychology; Supervised learning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Humanoid Robots, 2005 5th IEEE-RAS International Conference on
Conference_Location :
Tsukuba
Print_ISBN :
0-7803-9320-1
Type :
conf
DOI :
10.1109/ICHR.2005.1573598
Filename :
1573598
Link To Document :
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