A new color 3D SFS methodology using neural-based color reflectance models and iterative recursive method

Authors:
Siu-Yeung Cho;Tommy W. S. Chow
Affiliations:
Department of Electronic and Information Engineering, Hong Kong Polytechnic University, Hong Kong;Department of Electronic Engineering, City University of Hong Kong, Hong Kong
Venue:
Neural Computation
Year:
2002

Citing 21
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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.