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