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