Title: Image-based detail reconstruction of non-Lambertian surfaces
Authors: Lin, I-Chen
Chang, Wen-Hsing
Lo, Yung-Sheng
Peng, Jen-Yu
Lin, Chan-Yu
Department of Computer Science
Keywords: image-based 3D modeling;shape-from-shading;non-Lambertian reflection;motion capture;facial animation
Issue Date: 1-Jan-2010
Abstract: This paper presents a novel optimization framework for estimating the static or dynamic surfaces with details. The proposed method uses dense depths from a structured-light system or sparse ones from motion capture as the initial positions, and exploits non-Lambertian reflectance models to approximate surface reflectance. Multi-stage shape-from-shading (SFS) is then applied to optimize both shape geometry and reflectance properties. Because this method uses non-Lambertian properties, it can compensate for triangulation reconstruction errors caused by view-dependent reflections. This approach can also estimate detailed undulations on text-tireless regions, and employs spatial-temporal constraints for reliably tracking time-varying surfaces. Experiment results demonstrate that accurate and detailed 3D surfaces can be reconstructed from images acquired by off-the-shelf devices. Copyright (C) 2010 John Wiley & Sons, Ltd.
URI: http://dx.doi.org/10.1002/cav.332
ISSN: 1546-4261
DOI: 10.1002/cav.332
Volume: 21
Issue: 1
Begin Page: 55
End Page: 68
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