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Proceedings Paper

3D modeling using hierarchical feature point and spatio-temporal relationship
Author(s): Ho-Keun Lee; Sun-Kyu Kwon; Hee-Soo Kim; Yeong-Ho Ha
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Paper Abstract

This paper proposes a new 3D modeling technique based on feature points using spatio-temporal relationship. Normally, the generation of a 3D model from a real scene requires the computation of the depth of the model vertices from a dense correspondence map of the whole image. This is very time consuming, plus it is also quite difficult to achieve an accurate depth. The proposed method can generate a 3D model of an object based on identifying the correspondence of certain feature points without the need for a dense correspondence map. The proposed method consists of three parts: the extraction of an object, the extraction of feature points, and hierarchical 3D modeling using the classified feature points. This method is effective in generating a 3D model and expressing the smoothness of plain regions and sharpness of edges.

Paper Details

Date Published: 29 December 2000
PDF: 11 pages
Proc. SPIE 4310, Visual Communications and Image Processing 2001, (29 December 2000); doi: 10.1117/12.411860
Show Author Affiliations
Ho-Keun Lee, Kyungpook National Univ. (South Korea)
Sun-Kyu Kwon, Kyungpook National Univ. (South Korea)
Hee-Soo Kim, Kyungpook National Univ. (South Korea)
Yeong-Ho Ha, Kyungpook National Univ. (South Korea)

Published in SPIE Proceedings Vol. 4310:
Visual Communications and Image Processing 2001
Bernd Girod; Charles A. Bouman; Eckehard G. Steinbach, Editor(s)

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