3D Surface Reconstruction from Single 2D Image

2012 ◽  
Vol 522 ◽  
pp. 886-890 ◽  
Author(s):  
Feng He Wu ◽  
Jin Fen Wang ◽  
Jun Wang ◽  
Yu Bo Ren

The image-based 3D reconstruction technique is an important method of 3D data passive acquired in computer vision. Aimed at the limitation of traditional SFS based 3D surface reconstruction method, a combined image-based 3D surface reconstruction method is given in this paper. Firstly, the pretreatment method of gradation is applied to convert the input color image to 256 gray image; secondly, shape from shading method is applied to recover the 3D profile of object; finally, the B-spline technique is adopted to reconstruct the model of surface and improve the resolution of surface. The key techniques such as the principle and algorithm of B-spline interpolation reconstruction are analyzed, and the experimental results are also given. The single-image based 3D reconstruction method given in this paper will supply a helpful condition for the extensive used of SFS technique.

2014 ◽  
pp. 164-170
Author(s):  
V. V. Kornij

The problem of processing of coloured 3D metallographic images in order to obtain the crack volume is considered. Method of 3D surface reconstruction is applied for crack volume estimation. The model of illumination image forming and algorithm of norm vector for horizontal cracks definition are developed. Formulas for crack volume estimation in the case of 3D reconstruction are presented.


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