DocumentCode :
2007466
Title :
Vision Servoing Method Based on Texture Analyzing
Author :
Liu, Xiaomin ; Zhu, Feng
Author_Institution :
Chinese Acad. of Sci., Shenyang
fYear :
2007
fDate :
May 30 2007-June 1 2007
Firstpage :
2012
Lastpage :
2016
Abstract :
By analyzing the relationship between the camera motion and the coarseness changing of the texture image, a vision servoing method based on texture coarseness analyzing is given in this paper. The theory based on geography feature calculation is not effective in the environment full of texture but short of geography features. Texture feature extraction corresponding to the camera translation, pitching and yawing is talked. The result of half-physical robot station keeping experiment shows that the changing of texture features can provide enough motion information for the servoing task of the robot.
Keywords :
feature extraction; image texture; mobile robots; motion estimation; robot vision; visual servoing; camera motion; geography feature calculation; half-physical robot station; image texture; vision servoing method; Cameras; Data mining; Feature extraction; Geography; Image analysis; Image motion analysis; Image texture analysis; Motion analysis; Robot vision systems; Robotics and automation; Characteristic extraction; Computer vision; Texture; Vision servoing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Automation, 2007. ICCA 2007. IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4244-0818-4
Electronic_ISBN :
978-1-4244-0818-4
Type :
conf
DOI :
10.1109/ICCA.2007.4376713
Filename :
4376713
Link To Document :
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