An Affine Invariant of Parallelograms and Its Application to Camera Calibration and 3D Reconstruction

2006 ◽  
pp. 191-204 ◽  
Author(s):  
F. C. Wu ◽  
F. Q. Duan ◽  
Z. Y. Hu
Keyword(s):  
3D Reconstruction ◽  
Camera Calibration ◽  
Affine Invariant

scholarly journals A 3D Reconstruction Pipeline of Urban Drainage Pipes Based on MultiviewImage Matching Using Low-Cost Panoramic Video Cameras

Water ◽  
2019 ◽  
Vol 11 (10) ◽  
pp. 2101 ◽  
Author(s):  
Zhang ◽  
Zhao ◽  
Hu ◽  
Wang ◽  
Ai ◽  
...  
Keyword(s):  
3D Reconstruction ◽  
High Precision ◽  
Image Matching ◽  
Low Cost ◽  
Geometric Distortion ◽  
Urban Drainage ◽  
Affine Invariant ◽  
Pipe Inspection ◽  
Video Cameras ◽  
Panoramic Video

Urban drainage pipe networks have complex spatial contributions, andthey are now facing problems such as damage, defects, and aging. A rapid and high-precision pipe inspection strategy is thekey to ensuring thesustainable development of urban water supply and drainage system. In this paper, a three-dimensional (3D) reconstruction pipeline of urban drainage pipes based on multiview image matching using low-cost panoramic video cameras is proposed, which provides an innovative technical approach for pipe inspection. Firstly, we extracted frames from the panoramic video of the pipes andcorrected the geometric distortion using a spherical reprojection to obtain multiview pipe images. Second, the robust feature matching method using support lines and affine-invariant ratios isintroduced to conduct pipe image matching. Finally, the photogrammetric processing, using structure from motion (SfM) and dense reconstruction, wasintroduced to achieve the 3D modeling of drainage pipes. Several typical drainage pipes and shafts of the real scenes were taken for the 3D reconstruction experiments. Theresults show that our strategy can realize high-precision 3D reconstruction of different types of pipes, which can provide effective technical support for rapid and efficient inspection of urban pipes with broad application prospects in the daily management of sustainable urban drainage systems (SUDSs).

Acquisition of Point Cloud Data in 3D Reconstruction

2014 ◽  
Vol 536-537 ◽  
pp. 213-217
Author(s):  
Meng Qiang Zhu ◽  
Jie Yang
Keyword(s):  
3D Reconstruction ◽  
Camera Calibration ◽  
Point Cloud ◽  
Corner Detection ◽  
Projection Mapping ◽  
Cloud Data ◽  
3D Space ◽  
Dense Point ◽  
Left And Right ◽  
Object Depth

This paper takes the following measures to solve the problem of 3D reconstruction. Camera calibration is based on chessboard, taking several different attitude images. Use corner point coordinates by corner detection to process camera calibration. The calibration result is important to be used to correct the distorted image. Next, the left and right images should be matched to find out the object surface points’ imaging position respectively so that the object depth can be calculated by triangulation. According to the inverse process of projection mapping, we can project the object depth and disparity information into 3D space. As a result, we can obtain dense point cloud, which is ready for 3D reconstruction.

Three-Dimensional Object Surface Reconstruction Based on Camera Calibration and SIFT

2015 ◽  
Vol 719-720 ◽  
pp. 1191-1197 ◽  
Author(s):  
Jun Zhang ◽  
Long Ye ◽  
Qin Zhang ◽  
Jing Ling Wang
Keyword(s):  
3D Reconstruction ◽  
Camera Calibration ◽  
Image Matching ◽  
Three Dimensional ◽  
Target Object ◽  
Object A ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Dimensional Object

This paper is focused on camera calibration, image matching, both of which are the key issues in three-dimensional (3D) reconstruction. In terms of camera calibration firstly, we adopt the method based on the method proposed by Zhengyou Zhang. In addition to this, it is selective for us to deal with tangential distortion. In respect of image matching, we use the SIFT algorithm, which is invariant to image translation, scaling, rotation, and partially invariant to illumination changes and to affine or 3D projections. It performs well in the follow-up matching the corresponding points. Lastly, we perform 3D reconstruction of the surface of the target object. A Graphical User Interface is designed to help us to realize the key function of binocular stereo vision, with better visualization. Apparently, the entire GUI brings convenience to the follow-up work.

scholarly journals Evaluation of Solving Methods for the Fundamental Matrix Computation

2021 ◽  
Vol 6 (1) ◽  
pp. 1-1
Author(s):  
Katherine Arnold ◽  
Mohamed A. Naiel ◽  
Mark Lamm ◽  
Paul Fieguth
Keyword(s):  
3D Reconstruction ◽  
Camera Calibration ◽  
Fundamental Matrix ◽  
Synthetic Data ◽  
Ground Truth ◽  
Matrix Computation ◽  
Linear Solvers ◽  
Non Linear ◽  
Measurements Errors ◽  
Image Calibration

Solving the fundamental matrix is a key step in many image calibration and 3D reconstruction systems. The goal of this paper is to study the performance of non-linear solvers for estimating the fundamental matrix in projector-camera calibration. To prevent measurements errors from distorting our understanding, synthetic data are created from ground-truth camera and projector parameters and then used for the assessment of four nonlinear solving strategies.

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