Title :
Linear Six-Point Algorithm of Camera Self-Calibration and 3D Reconstruction from Single-View or Multi-views
Author :
Yang, Zhonggen ; Cao, Fang
Author_Institution :
Collage of Inf. Eng., Shanghai Maritime Univ.
Abstract :
Camera self-calibration and 3D reconstruction is one of the most important tasks in computer vision system. In a kind of applications, the 3D shape model is a priori known. How to calibrate the used camera and how to determine the 3D pose of the viewed target from its single-view or multi-views in this case is studied. A linear six-point algorithm is developed. The computation in the suggested algorithm applies null subspace projection and some of QR decompositions. The affections of noise strength, point-number and frame-number on algorithm performance are experimentally demonstrated
Keywords :
calibration; cameras; computer vision; image reconstruction; matrix algebra; 3D reconstruction; 3D shape model; QR decompositions; camera self-calibration; computer vision system; linear six-point algorithm; multi-views; single-view; Analog computers; Application software; Computer vision; Coordinate measuring machines; Digital cameras; Image reconstruction; Iterative algorithms; Length measurement; Matrix decomposition; Shape;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.345653
