Three- Dimensional Shape Reconstruction from Images by Shape-from-Silhouette Technique and Iterative Triangulation

We propose an image-based three-dimensional shape determination system. The shape, and thus the three-dimensional coordinate information of the 3-D object, is determined solely from captured images of the 3-D object from a prescribed set of viewpoints. The approach is based on the shape-from-silhoue...

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Bibliographic Details
Published in:Journal of mechanical science and technology 2003-11, Vol.17 (11), p.1665-1673
Main Authors: CHO, Jung-Ho, MOON-HO SONG, Samuel
Format: Article
Language:English
Subjects:
Algorithms
Animation
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
Image reconstruction
Industrial metrology. Testing
International trade
Iterative methods
Mechanical engineering. Machine design
Pattern recognition. Digital image processing. Computational geometry
Polygons
Reconstruction
Reverse engineering
Studies
Three dimensional
Three dimensional models
Triangulation
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Summary:We propose an image-based three-dimensional shape determination system. The shape, and thus the three-dimensional coordinate information of the 3-D object, is determined solely from captured images of the 3-D object from a prescribed set of viewpoints. The approach is based on the shape-from-silhouette (SFS) technique, and the efficacy of the SFS method is tested using a sample data set. The extracted three-dimensional shape is modeled with polygons generated by a new iterative triangulation algorithm, and the polygon model can be exported to commercial software. The proposed system may be used to visualize the 3-D object efficiently, or to quickly generate initial CAD data for reverse engineering purposes, including three dimensional design applications such as 3-D animation and 3-D games.
ISSN:1738-494X
1226-4865
1976-3824
DOI:10.1007/BF02983596