scholarly journals Three‐dimensional shape reconstruction of objects from a single depth view using deep U‐Net convolutional neural network with bottle‐neck skip connections

2021 ◽  
Vol 15 (1) ◽  
pp. 24-35
Author(s):  
Edwin Valarezo Añazco ◽  
Patricio Rivera Lopez ◽  
Tae‐Seong Kim
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Three Dimensional ◽  
Shape Reconstruction ◽  
Dimensional Shape ◽  
Bottle Neck ◽  
Three Dimensional Shape ◽  
Depth View

Research on three-dimensional shape reconstruction of circular cylindrical flaw

2008 ◽  
Vol 69 (11) ◽  
pp. 960-965 ◽  
Author(s):  
Gangfeng Zheng ◽  
Bin Wu ◽  
Cunfu He
Keyword(s):  
Three Dimensional ◽  
Shape Reconstruction ◽  
Dimensional Shape ◽  
Three Dimensional Shape

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.

Porcelain three-dimensional shape reconstruction and its color reconstruction

2013 ◽  
Author(s):  
Xiaoyang Yu ◽  
Haibin Wu ◽  
Xue Yang ◽  
Shuang Yu ◽  
Beiyi Wang ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Shape Reconstruction ◽  
Dimensional Shape ◽  
Three Dimensional Shape

scholarly journals Trilateral convolutional neural network for 3D shape reconstruction of objects from a single depth view

2019 ◽  
Vol 13 (13) ◽  
pp. 2457-2466 ◽  
Author(s):  
Patricio Rivera ◽  
Edwin Valarezo Añazco ◽  
Mun-Taek Choi ◽  
Tae-Seong Kim
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Shape Reconstruction ◽  
3D Shape ◽  
3D Shape Reconstruction ◽  
Depth View

High dynamic range three-dimensional shape reconstruction via an auto-exposure-based structured light technique

2019 ◽  
Vol 58 (06) ◽  
pp. 1 ◽  
Author(s):  
Suming Tang ◽  
Xu Zhang ◽  
Chen Li ◽  
Feifei Gu
Keyword(s):  
Dynamic Range ◽  
Structured Light ◽  
Three Dimensional ◽  
High Dynamic Range ◽  
Shape Reconstruction ◽  
Dimensional Shape ◽  
High Dynamic ◽  
Three Dimensional Shape
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