A 3D Surface Reconstruction Method Based on Delaunay Triangulation

2019 ◽  
pp. 40-51
Author(s):  
Wenjuan Miao ◽  
Yiguang Liu ◽  
Xuelei Shi ◽  
Jingming Feng ◽  
Kai Xue
Keyword(s):  
Surface Reconstruction ◽  
Delaunay Triangulation ◽  
Reconstruction Method ◽  
3D Surface Reconstruction ◽  
3D Surface

A New Reverse Engineering Method for the 3D Surface Reconstruction without Contact

2015 ◽  
Vol 1099 ◽  
pp. 140-146
Author(s):  
L. Giraud-Moreau ◽  
R. Slysz ◽  
H. Borouchaki
Keyword(s):  
Reverse Engineering ◽  
Pattern Matching ◽  
Surface Reconstruction ◽  
Delaunay Triangulation ◽  
Three Dimensional ◽  
Engineering Method ◽  
Two Dimensional ◽  
3D Surface Reconstruction ◽  
3D Surface ◽  
Structure Light

In this paper, a new reverse engineering method is proposed for 3d surface reconstruction without contact. This method is based on the combination of stereovision and structure light methods. The originality of the proposed technique is that the pattern is a two-dimensional Delaunay triangulation. A key characterizing the vertices is computed for each vertex. The pattern matching between two images is reduced to the comparison of two meshes. The three dimensional triangulation of the surface can then be obtained by using the geometric properties of the acquisition devices.

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
Keyword(s):  
3D Reconstruction ◽  
Surface Reconstruction ◽  
Color Image ◽  
Spline Interpolation ◽  
Shape From Shading ◽  
Reconstruction Technique ◽  
Reconstruction Method ◽  
B Spline ◽  
3D Surface Reconstruction ◽  
3D Surface

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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