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Proceedings Paper

Direct surface reconstruction from textured images
Author(s): Kyoung Mu Lee; C.-C. Jay Kuo
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Paper Abstract

In this research, we propose a new shape from texture (SFT) algorithm. Unlike most existing SFT algorithms, it takes all possible texture distortion effects and recovers the surface heights of curved objects directly. The basic idea of our approach is to use the semi-perspective projection model based on the solid angle concept and approximation of a curved surface with a triangular element surface model. With these models, we relate the densities of textural primitives in triangular domains to nodal height variables of the curved surface directly. This procedure leads to a nonlinear system of equations which are then solved via a global energy minimization scheme and a successive linearization scheme. Estimation of the local textural density using dots and line segment edges of texels is also discussed.

Paper Details

Date Published: 23 June 1993
PDF: 12 pages
Proc. SPIE 2031, Geometric Methods in Computer Vision II, (23 June 1993); doi: 10.1117/12.146621
Show Author Affiliations
Kyoung Mu Lee, Univ. of Southern California (United States)
C.-C. Jay Kuo, Univ. of Southern California (United States)

Published in SPIE Proceedings Vol. 2031:
Geometric Methods in Computer Vision II
Baba C. Vemuri, Editor(s)

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