Title :
A 3-D reconstruction method based on epipolar geometry
Author :
Mingxing, Hu ; Guohui, Zou ; Baozong, Yuan
Author_Institution :
Inst. of Inf. Sci., Northern Jiaotong Univ., Beijing, China
Abstract :
This paper addresses the problem of 3-D reconstruction based on epipolar geometry, which uses the iterative linear subspace algorithm (ILSA). A high precise fundamental matrix can be computed by distance minimization starting from the position of epipolar points and epipolar transformation, which are estimated initially by the linear subspace algorithm. The algorithm has been implemented and tested on both synthetic and real images, and compared to other ones, the method is more robust and precise
Keywords :
geometry; image reconstruction; iterative methods; matrix algebra; minimisation; 3D reconstruction method; distance minimization; epipolar geometry; epipolar points; epipolar transformation; fundamental matrix; iterative linear subspace algorithm; real images; synthetic images; Cameras; Geometry; Image reconstruction; Information science; Iterative algorithms; Layout; Minimization methods; Motion estimation; Testing; Three dimensional displays;
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
DOI :
10.1109/ICOSP.2000.891779
