A novel 3D convex surface reconstruction method based on visual hull

2011 ◽  
Author(s):  
Qingguang Li ◽  
Shengyong Xu ◽  
Dan Xia ◽  
Dehua Li
Keyword(s):  
Surface Reconstruction ◽  
Convex Surface ◽  
Reconstruction Method ◽  
Visual Hull

Application Research on a Curved CAM Surface Reconstruction Method

2014 ◽  
Vol 971-973 ◽  
pp. 402-405
Author(s):  
Zhou Wen ◽  
Jun Ling Zhang ◽  
Xiu Duan Gong
Keyword(s):  
Reverse Engineering ◽  
Surface Reconstruction ◽  
Design Method ◽  
Subsequent Development ◽  
Reconstruction Method ◽  
Application Research ◽  
Cam Mechanism ◽  
Indexing Mechanism ◽  
Contour Surface ◽  
Rapid Modeling

Globular indexing CAM mechanism is a good indexing mechanism. As the working curve of CAM contour surface is no extending curved surface, there is certain difficulty to design processing. It is new kinds of design method that reverse engineering apply in rapid modeling of curved CAM. In this way, designer can complete curve of CAM reverse modeling, and the rationality of the model is verified. At the same time, it also can reverse modeling and the subsequent development of other products to provide a reference.

Reconstruction of Virtual Parts from Unorganized Scanned Data for Automated Dimensional Inspection

2003 ◽  
Vol 3 (1) ◽  
pp. 76-86 ◽  
Author(s):  
Chuan-Chu Kuo ◽  
Hong-Tzong Yau
Keyword(s):  
Surface Reconstruction ◽  
Delaunay Triangulation ◽  
Reconstruction Method ◽  
Geometric Complexity ◽  
Dimensional Inspection ◽  
Triangulated Surface ◽  
Surface Models ◽  
Sample Data ◽  
The Creation

In the framework of Virtual CMM [1], virtual parts are proposed to be constructed as triangulated surface models. This paper presents a novel surface reconstruction method to the creation of virtual parts. It is based on the idea of identification and sculpting of concave regions of a Delaunay triangulation of the sample data. The proposed algorithm is capable of handling the reconstruction of surfaces with or without boundaries from unorganized points. Comparisons with other Delaunay-based algorithms show that it is more efficient in that it can optimally adapt to the geometric complexity of the sampled object. To validate the proposed algorithm, some detailed illustrations are given.

A novel three-dimensional surface reconstruction method for the complex fabrics based on the MVS

2020 ◽  
Vol 131 ◽  
pp. 106415
Author(s):  
Yiliang Wang ◽  
Na Deng ◽  
Binjie Xin ◽  
Wenzhen Wang ◽  
Wenyu Xing ◽  
...  
Keyword(s):  
Surface Reconstruction ◽  
Three Dimensional ◽  
Reconstruction Method ◽  
Dimensional Surface

scholarly journals Exploiting Visibility Information in Surface Reconstruction to Preserve Weakly Supported Surfaces

2014 ◽  
Vol 2014 ◽  
pp. 1-20 ◽  
Author(s):  
Michal Jancosek ◽  
Tomas Pajdla
Keyword(s):  
Surface Reconstruction ◽  
Free Space ◽  
State Of The Art ◽  
The State ◽  
Real Object ◽  
Reconstruction Method ◽  
The Real ◽  
Model Free ◽  
Novel Method ◽  
Different Levels

We present a novel method for 3D surface reconstruction from an input cloud of 3D points augmented with visibility information. We observe that it is possible to reconstruct surfaces that do not contain input points. Instead of modeling the surface from input points, we model free space from visibility information of the input points. The complement of the modeled free space is considered full space. The surface occurs at interface between the free and the full space. We show that under certain conditions a part of the full space surrounded by the free space must contain a real object also when the real object does not contain any input points; that is, an occluder reveals itself through occlusion. Our key contribution is the proposal of a new interface classifier that can also detect the occluder interface just from the visibility of input points. We use the interface classifier to modify the state-of-the-art surface reconstruction method so that it gains the ability to reconstruct weakly supported surfaces. We evaluate proposed method on datasets augmented with different levels of noise, undersampling, and amount of outliers. We show that the proposed method outperforms other methods in accuracy and ability to reconstruct weakly supported surfaces.

Material Surface Reconstruction Based on Light Projection

2010 ◽  
Vol 143-144 ◽  
pp. 768-772
Author(s):  
Shao Yan Gai ◽  
Fei Peng Da
Keyword(s):  
Surface Reconstruction ◽  
Three Dimensional ◽  
Shape Reconstruction ◽  
Material Surface ◽  
Reconstruction Method ◽  
Object Surface ◽  
Reconstruction Process ◽  
Dimensional Shape ◽  
Three Dimensional Shape ◽  
Vision Geometry

A surface reconstruction method for material shape analysis is presented. The three-dimensional shape reconstruction system detects object surface based on optical principle. A series of gratings are projected to the object, and the projected gratings are deformed by the object surface. From images of the deformed gratings, three-dimensional profile of the material surface can be obtained. The basic aspects of the method are discussed, including the vision geometry, the light projection and code principle. The proposed method can deal with objects with various discontinuities on the material surface, thus increasing the flexibility and robustness of shape reconstruction process. The experimental results show the efficiency of the method, the material surface can be reconstructed with high precision in various applications.

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