DocumentCode :
341218
Title :
3D object modeling using a binocular vision system
Author :
Wang, J.G. ; Li, Y.F.
Author_Institution :
Dept of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, Kowloon, Hong Kong
Volume :
2
fYear :
1999
fDate :
1999
Firstpage :
684
Abstract :
A man-machine interaction based stereo vision system is developed for modeling an unknown environment. The data points needed for modeling an objects are obtained through the intersection of lines, or calculation from equations of curve, derived via fitting from human guided edge detection. The modeling accuracy is ensured by using image feature extraction. A multi-viewpoint modeling approach has been developed in order to deal with occlusion problems. The virtual environment can be rendered based on the modeling data of real scenes with known model of mobile robot. The system implementation and some 3D measurements on real scene have been performed, with some results given
Keywords :
edge detection; feature extraction; man-machine systems; robot vision; solid modelling; stereo image processing; virtual reality; 3D object model; binocular vision; edge detection; image feature extraction; man-machine interaction; mobile robot; multi-viewpoint model; occlusion; real scene; rendering; stereo vision; virtual environment; Curve fitting; Equations; Feature extraction; Humans; Image edge detection; Layout; Machine vision; Man machine systems; Stereo vision; Virtual environment;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Instrumentation and Measurement Technology Conference, 1999. IMTC/99. Proceedings of the 16th IEEE
Conference_Location :
Venice
ISSN :
1091-5281
Print_ISBN :
0-7803-5276-9
Type :
conf
DOI :
10.1109/IMTC.1999.776933
Filename :
776933
Link To Document :
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