A Novel 3D Surface Reconstruction Method with Posterior Constraints of Edge Detection

Author(s):  
Hongtao Wu ◽  
Ying Meng ◽  
Bingqing Niu
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.


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