DocumentCode :
2353451
Title :
A vision system for fast 3D model reconstruction
Author :
Lin, Huei-Yung ; Subbarao, Murali
Author_Institution :
Dept. of Electr. & Comput. Eng., State Univ. of New York, Stony Brook, NY, USA
Volume :
2
fYear :
2001
fDate :
2001
Abstract :
A desktop vision system is presented for complete 3D model acquisition. It is fast, low-cost, and accurate. Partial 3D shapes and texture information are acquired from multiple viewing directions using rotational stereo and shape from focus (SFF). The resulting range images are registered to a common coordinate system and a surface representation is created for each range image. The resulting surfaces are integrated using a new algorithm named Region-of-Construction. Unlike previous approaches, the Region-of-Construction algorithm directly exploits the structure of the raw range images. The algorithm determines regions in range images corresponding to non-redundant surfaces which can be stitched along the boundaries to construct the complete 3D surface model. The algorithm is computationally efficient and less sensitive to registration error. It also has the ability to construct complete 3D models of complex objects with holes. A photo realistic 3D model is obtained by mapping texture information onto the complete surface model representing 3D shape. Experimental results for several real objects are presented.
Keywords :
computer vision; image reconstruction; image registration; image texture; realistic images; stereo image processing; 3D surface model; Region-of-Construction algorithm; SFF; common coordinate system; complete 3D model acquisition; complete 3D models; complex objects; desktop vision system; fast 3D model reconstruction; image registration; multiple viewing directions; nonredundant surfaces; partial 3D shapes; photo realistic 3D model; range images; raw range images; real objects; registration error; rotational stereo; shape from focus; surface representation; texture information; Cameras; Data acquisition; Focusing; Image reconstruction; Machine vision; Photometry; Shape; Solid modeling; Surface reconstruction; Surface texture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on
ISSN :
1063-6919
Print_ISBN :
0-7695-1272-0
Type :
conf
DOI :
10.1109/CVPR.2001.991027
Filename :
991027
Link To Document :
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