標題: Image-based detail reconstruction of non-Lambertian surfaces
作者: Lin, I-Chen
Chang, Wen-Hsing
Lo, Yung-Sheng
Peng, Jen-Yu
Lin, Chan-Yu
資訊工程學系
Department of Computer Science
關鍵字: image-based 3D modeling;shape-from-shading;non-Lambertian reflection;motion capture;facial animation
公開日期: 1-一月-2010
摘要: 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
http://hdl.handle.net/11536/6292
ISSN: 1546-4261
DOI: 10.1002/cav.332
期刊: COMPUTER ANIMATION AND VIRTUAL WORLDS
Volume: 21
Issue: 1
起始頁: 55
結束頁: 68
顯示於類別:期刊論文


文件中的檔案:

  1. 000274937200005.pdf