Global Structure-from-Motion by Similarity Averaging

2015 ◽  
Author(s):  
Zhaopeng Cui ◽  
Ping Tan
Keyword(s):  
Structure From Motion ◽  
Global Structure

scholarly journals Robust Global Structure From Motion Pipeline With Parallax on Manifold Bundle Adjustment and Initialization

2019 ◽  
Vol 4 (2) ◽  
pp. 2164-2171
Author(s):  
Liyang Liu ◽  
Teng Zhang ◽  
Brenton Leighton ◽  
Liang Zhao ◽  
Shoudong Huang ◽  
...  
Keyword(s):  
Structure From Motion ◽  
Global Structure ◽  
Bundle Adjustment

An Improved Method of Refining Relative Orientation in Global Structure from Motion with a Focus on Repetitive Structure and Very Short Baselines

2020 ◽  
Vol 86 (5) ◽  
pp. 299-315
Author(s):  
X. Wang ◽  
C. Heipke
Keyword(s):  
Structure From Motion ◽  
Relative Orientation ◽  
Global Structure ◽  
Conjugate Points ◽  
Data Sets ◽  
Computational Speed ◽  
Repetitive Structure ◽  
Close Range ◽  
Short Baselines ◽  
Image Pairs

Recently, global structure from motion has successfully gained many followers, mainly because of its computational speed. Most of these global methods take the parameters of relative orientation (ROs ) as input and then perform averaging operations. Therefore, eliminating incorrect ROs is of great significance for improving the robustness of global structure from motion. In this article, we propose a method to eliminate wrong ROs which have resulted from repetitive structure and very short baselines. We present two corresponding criteria that indicate the quality of ROs. Repetitive structure is detected based on counts of conjugate points of the various image pairs, while very short baselines are found by inspecting the intersection angles of corresponding image rays. By analyzing these two criteria, we detect and eliminate incorrect ROs. As correct ROs of image pairs with a longer baseline nearly parallel to both viewing directions can be valuable, a method to identify and keep these ROs is also part of our approach. We demonstrate the new method on various data sets, including public benchmarks as well as close-range images and images from unmanned aerial vehicles, by inserting our refined ROs into a global structure-from-motion pipeline. The experiments show that compared to other methods, we can generate the best results.

Camera pose estimation based on global structure from motion

2020 ◽  
Vol 79 (31-32) ◽  
pp. 23223-23242
Author(s):  
Dan Li ◽  
Danya Song ◽  
Shuang Liu ◽  
Junwen Ji ◽  
Kang Zeng ◽  
...  
Keyword(s):  
Pose Estimation ◽  
Structure From Motion ◽  
Global Structure ◽  
Camera Pose Estimation ◽  
Camera Pose

Rapid mapping accuracy assessment using low-cost UAV and open-source Structure from Motion

2020 ◽  
Vol 52 ◽  
pp. 55-61
Author(s):  
Ettore Potente ◽  
Cosimo Cagnazzo ◽  
Alessandro Deodati ◽  
Giuseppe Mastronuzzi
Keyword(s):  
Open Source ◽  
Structure From Motion ◽  
Accuracy Assessment ◽  
Low Cost ◽  
Mapping Accuracy ◽  
Rapid Mapping ◽  
Source Structure
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