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Improved shape from shading without initial information |
Lyes ABADA( ),Saliha AOUAT |
| Laboratory of Research in Artificial Intelligence, Department of Computer Science, University of Sciences and Technology Houari Boumediene (USTHB), Algiers 16111, Algeria |
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Abstract The number of constraints imposed on the surface, the light source, the camera model and in particular the initial information makes shape from shading (SFS) very difficult for real applications. There are a considerable number of approaches which require an initial data about the 3D object such as boundary conditions (BC). However, it is difficult to obtain these information for each point of the object Edge in the image, thus the application of these approaches is limited. This paper shows an improvement of the Global View method proposed by Zhu and Shi [1]. The main improvement is that we make the resolution done automatically without any additional information on the 3D object. The method involves four steps. The first step is to determine the singular curves and the relationship between them. In the second step, we generate the global graph, determine the sub-graphs, and determine the partial and global configuration. The proposed method to determine the convexity and the concavity of the singular curves is applied in the third step. Finally, we apply the Fast-Marching method to reconstruct the 3D object. Our approach is successfully tested on some synthetic and real images. Also, the obtained results are compared and discussed with some previous methods.
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| Keywords
shape from shading
SFS
image formation equation
level-set
graphs theory
3D reconstruction
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Corresponding Author(s):
Lyes ABADA
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Just Accepted Date: 24 November 2015
Online First Date: 25 July 2016
Issue Date: 06 April 2017
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