DocumentCode
2792665
Title
A new method of 3D reconstruction baseing on images sequence using hand-hold camera
Author
Zhao, Jie ; Zhang, Ying-Kang ; Yan, Dong-ming
Author_Institution
Coll. of Electron. & Inf. Eng., Hebei Univ., Baoding
Volume
5
fYear
2008
fDate
12-15 July 2008
Firstpage
2723
Lastpage
2728
Abstract
3D reconstruction is an important technique in the field of computer vision. The traditional 3D reconstruction technology involves the self-calibration method basing on dual absolute quadric. However, some drawbacks in this method cause this technology less robust. First, usually the solution of the dual quadric matrix can not satisfy the positive-definiteness condition caused by loud noise in data; second, if the motion of the camera is too restricted, the calibration degeneracy will turn up causing the reconstruction failed. To these questions, we design a new method for calibrating the camera using the camera pure rotating calibration and decomposing the essential matrix. So, the metric structure can be got directly avoiding the less robustness caused by self-calibration. Experiments show that, using this method the reconstruction has an efficient result and the procedure is convenient.
Keywords
cameras; computer vision; image reconstruction; image sequences; matrix algebra; 3D reconstruction; calibration degeneracy; computer vision; dual absolute quadric; dual quadric matrix; hand-hold camera; image sequence; self-calibration method; Calibration; Cameras; Computer vision; Cybernetics; Image reconstruction; Image sequences; Layout; Machine learning; Matrix decomposition; Robustness; 3D Reconstruction; Bundle Adjustment; Camera Rotating Calibration; Camera Self-calibration; Computer Vision; Essential Matrix; L-M Algorithm; Metric Structure;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics, 2008 International Conference on
Conference_Location
Kunming
Print_ISBN
978-1-4244-2095-7
Electronic_ISBN
978-1-4244-2096-4
Type
conf
DOI
10.1109/ICMLC.2008.4620869
Filename
4620869
Link To Document