Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/28939
Title: A new color 3D SFS methodology using neural-based color reflectance models and iterative recursive method
Authors: Cho, SY
Chow, TWS
Issue Date: 2002
Source: Neural computation, 2002, v. 14, no. 11, p. 2751-2789 How to cite?
Journal: Neural Computation 
Abstract: In this article, a new methodology for color shape from shading (SFS) problem is proposed. The problem of color SFS refers to the well-known fact that most real objects usually contain mixtures of diffuse and specular color reflections and are affected by the multicolored interreflection under unknown reflectivity. In this article, these limitations are addressed, and a new color SFS methodology is proposed. The proposed approach focuses on two main parts. First, a generalized neural-based color reflectance model is developed. Second, an iterative recursive method is developed to reconstruct a multicolor 3D surface. Experimental results on synthetic-colored objects and real-colored objects were performed to demonstrate the performance of the proposed methodology.
URI: http://hdl.handle.net/10397/28939
ISSN: 0899-7667
DOI: 10.1162/089976602760408053
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