Surface reconstruction for 3D objects from unorganized points

2001 ◽  
Author(s):  
Jing-qi Yan ◽  
Peng-Fei Shi
Keyword(s):  
Surface Reconstruction ◽  
3D Objects

SURFACE RECONSTRUCTION OF 3D OBJECTS

2006 ◽  
pp. 642-647 ◽  
Author(s):  
Xiaokun Li ◽  
Chia Yung Han ◽  
William G. Wee
Keyword(s):  
Surface Reconstruction ◽  
3D Objects

Accurate surface reconstruction of large 3D objects from range data

2003 ◽  
Author(s):  
Xiaokun Li ◽  
Lei He ◽  
Bryan Everding ◽  
Chia Y. Han ◽  
William G. Wee
Keyword(s):  
Surface Reconstruction ◽  
Range Data ◽  
3D Objects

A New Volume Warping Method for Surface Reconstruction

2006 ◽  
Vol 6 (4) ◽  
pp. 355-363 ◽  
Author(s):  
Sergei Azernikov ◽  
Anath Fischer
Keyword(s):  
Surface Reconstruction ◽  
Extraction Method ◽  
Main Idea ◽  
Grid Cell ◽  
Cartesian Grid ◽  
Subdivision Surfaces ◽  
3D Objects ◽  
Volumetric Models ◽  
Geometrical Field ◽  
Grid Based

Volumetric models of 3D objects have recently been introduced into the reverse engineering (RE) process. Grid-based methods are considered as the major technique for reconstructing surfaces from these volumetric models. This is mainly due to the efficiency and simplicity of these methods. However, these grid-based methods suffer from a number of inherent drawbacks, resulting from the fact that the imposed Cartesian grid in general is not well adapted to the surface, neither in size nor in orientation. In order to overcome the above obstacles a new iso-surface extraction method is proposed for volumetric models. The main idea is first to construct a geometrical field that is induced by the object’s shape. This geometrical field represents the natural directions and a grid cell size for each point in the domain. Then, the imposed volumetric grid is deformed by the produced geometrical field toward the object’s shape. The iso-surface meshes can be extracted from the resulting adaptive grid by any conventional grid-based contouring technique. The proposed method provides better approximation of the unknown surface and exhibits anisotropy, which is present inherently in the surface. Moreover, since the produced meshes are quad-dominant, Catmull-Clark subdivision surfaces are directly constructed from these meshes.

Surface reconstruction of 3D objects using local moving least squares and K-D trees

2017 ◽  
Author(s):  
Yu-Mei Hong ◽  
Jia-Hong Zhang ◽  
Chia-Yen Chen ◽  
Burkhard C. Wunsche ◽  
Hsiang-Jen Chien ◽  
...  
Keyword(s):  
Least Squares ◽  
Surface Reconstruction ◽  
Moving Least Squares ◽  
3D Objects

Point Clouds Pre-Processing and Surface Reconstruction Based on Tangent Continuity Algorithm Technique

2020 ◽  
Vol 38 (6A) ◽  
pp. 917-925
Author(s):  
Ali M. Al-Bdairy ◽  
Ahmed A.A. Al-Duroobi ◽  
Maan A. Tawfiq
Keyword(s):  
Case Studies ◽  
Surface Reconstruction ◽  
Laser Scanner ◽  
Point Clouds ◽  
3D Objects ◽  
Data Points ◽  
3D Scanners ◽  
Different Shapes ◽  
Noise Factors

Pre-processing is essential for processing the row data point clouds which acquired using a 3D laser scanner as a modern technique to digitize and reconstruct the surface of the 3D objects in reverse engineering applications. Due to the accuracy limitation of some 3D scanners and the environmental noise factors such as illumination and reflection, there are some noised data points associated with the row point clouds, so, in the present paper, a preprocessing algorithm has been proposed to determine and delete the unnecessary data as noised points and save the remaining data points for the surface reconstruction of 3D objects from its point clouds which acquired using the 3D laser scanner (Matter and Form). The proposed algorithm based on the assessment of tangent continuity as a geometrical feature and criteria for the contiguous points. A MATLAB software has been used to construct a program for the proposed point clouds pre-processing algorithm, the validity of the constructed program has been proved using geometrical case studies with different shapes. The application results of the proposed tangent algorithm and surface fitting process for the suggested case studies were proved the validity of the proposed algorithm for simplification of the point clouds, where the percent of noised data which removed according to the proposed tangent continuity algorithm which achieved a reduction of the total points to a percentage of (43.63%), and (32.01%) for the studied case studies, from the total number of data points in point cloud for first and second case study respectively.

Recognition of partially occluded 3D objects

1989 ◽  
Vol 136 (2) ◽  
pp. 124
Author(s):  
Ming-Hong Chan ◽  
Hung-Tat Tsui
Keyword(s):  
3D Objects ◽  
Partially Occluded

Fermi-surface reconstruction close to a pressure-induced metal-insulator transition

2004 ◽  
Vol 114 ◽  
pp. 277-281 ◽  
Author(s):  
J. Wosnitza ◽  
J. Hagel ◽  
O. Stockert ◽  
C. Pfleiderer ◽  
J. A. Schlueter ◽  
...  
Keyword(s):  
Fermi Surface ◽  
Surface Reconstruction ◽  
Insulator Transition ◽  
Metal Insulator Transition ◽  
Metal Insulator ◽  
Fermi Surface Reconstruction
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