Metric three-dimensional reconstruction model from a light field and its calibration

2017 ◽  
Vol 56 (1) ◽  
pp. 013105 ◽  
Author(s):  
Chen Li ◽  
Xu Zhang ◽  
Dawei Tu
Author(s):  
Wentao Zhang ◽  
Shengqian Chang ◽  
Xiao Tao ◽  
Chang Wang ◽  
Chenning Tao ◽  
...  

2021 ◽  
Author(s):  
Yuriy Anisimov ◽  
Gerd Reis ◽  
Didier Stricker

The ability to create an accurate three-dimensional reconstruction of a captured scene draws attention to the prin- ciples of light fields. This paper presents an approach for light field camera calibration and rectification, based on pairwise pattern-based parameters extraction. It is followed by a correspondence-based algorithm for camera parameters refinement from arbitrary scenes using the triangulation filter and nonlinear optimization. The effec- tiveness of our approach is validated on both real and synthetic data.


2019 ◽  
Vol 39 (10) ◽  
pp. 1011002
Author(s):  
宋祥磊 Song Xianglei ◽  
李舒 Li Shu ◽  
顾梦涛 Gu Mengtao ◽  
张彪 Zhang Biao ◽  
许传龙 Xu Chuanlong

Author(s):  
F. Hua ◽  
G. Peng ◽  
L. Lu ◽  
Z. Wang

The existing multi-baseline methods have some problems of low accuracy and intensive calculation. In order to solve the problems, a new multi-baseline InSAR elevation inversion method based on a rigorous geometric model instead of a simplified model is proposed in the letter. This method introduces the three-dimensional reconstruction model based on rigorous geometric model and the unknown full cycles of interferometric phase as a parameter to iteratively solve the 3-D coordinates of the target. With adopting the 3-D coordinate information of targets to connect different interferometric data, the new method obviously weakens the effects of system errors on solving the integer cycle and is more reliable than conventional multi-baseline InSAR methods. The experimental results show that the speed and accuracy of the new method are better than the existing methods.


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