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