DocumentCode :
3190004
Title :
A Realistic 3-D Reverse Modeling System Based on Real-World Sampling Dataset
Author :
Deng, Zhidong ; Niu, Jianjun ; Zhang, Jingdan
Author_Institution :
Dept. of Comput. Sci., Tsinghua Univ., Beijing
fYear :
2006
fDate :
9-15 Oct. 2006
Firstpage :
5327
Lastpage :
5332
Abstract :
This paper presents an image-based three-dimensional (3-D) reverse modeling system. We take advantage of stereo vision-based method to acquire geometric information through sampling the surface of a physical object mounted on end effectors of a 4-DOF planar robot. Based on real-world sampling data sets, a realistic 3-D graphical model can be automatically constructed. We provide a new approach to system calibration, geometric information acquisition, and surface parameterization, and also implement a prototype system of rapidly establishing textured model that is available to virtual reality application
Keywords :
calibration; robot vision; stereo image processing; 4-DOF planar robot; geometric information acquisition; real-world sampling dataset; realistic 3D reverse modeling system; stereo vision-based method; surface parameterization; system calibration; Calibration; End effectors; Graphical models; Image sampling; Robot vision systems; Robotics and automation; Sampling methods; Solid modeling; Surface texture; Virtual prototyping; Image-based modeling; stereo vision; surface reconstruction; system calibration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-0258-1
Electronic_ISBN :
1-4244-0259-X
Type :
conf
DOI :
10.1109/IROS.2006.282036
Filename :
4059273
Link To Document :
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