Direct surface reconstruction from textured images

Kyoung Mu Lee; C.-C. Jay Kuo

doi:10.1117/12.146621

23 June 1993 Direct surface reconstruction from textured images

Kyoung Mu Lee, C.-C. Jay Kuo

Proceedings Volume 2031, Geometric Methods in Computer Vision II; (1993) https://doi.org/10.1117/12.146621
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

Citation Download Citation

Kyoung Mu Lee and C.-C. Jay Kuo "Direct surface reconstruction from textured images", Proc. SPIE 2031, Geometric Methods in Computer Vision II, (23 June 1993); https://doi.org/10.1117/12.146621

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