DocumentCode :
2550582
Title :
Real-time humanoid visual system based on region segmentation
Author :
Liu, Gun-Hwa ; Wen, Sheng-Fan ; Chen, Po-Chun ; Shih, Wen-Pin
Author_Institution :
Dept. of Mech. Eng., Nat. Taiwan Univ., Taipei, Taiwan
fYear :
2011
fDate :
21-25 June 2011
Firstpage :
347
Lastpage :
352
Abstract :
This paper presents a visual system for a humanoid robot. The eye mechanism possesses five degrees of freedom; its dimensions and motion behavior imitate real human eye. The software combines the techniques of image segmentation, region extraction, region correspondence, and projective geometry of camera to achieve the function of distance determination. Unlike general fixed stereo system, the errors from eyeball rotation are also considered. An angle control algorithm is implemented in the system to reduce the errors. This system could be applied in obstacles detection and objects capture.
Keywords :
humanoid robots; image segmentation; robot vision; angle control; distance determination; eyeball rotation; humanoid robot; image segmentation; objects capture; obstacles detection; projective geometry; real-time humanoid visual system; region correspondence; region extraction; region segmentation; Cameras; Image color analysis; Image segmentation; Pixel; Software; Visual system; Zirconium; humanoid robot; image sensors; integration; visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2011 9th World Congress on
Conference_Location :
Taipei
Print_ISBN :
978-1-61284-698-9
Type :
conf
DOI :
10.1109/WCICA.2011.5970532
Filename :
5970532
Link To Document :
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