Share Email Print
cover

Proceedings Paper

3D reconstruction based on the decomposition of a matrix
Author(s): Guanyong Wu; Quanbing Zhang; Nian Wang; Sui Wei
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

This paper proposes a 3D reconstruction method based on the decomposition of matrix. The method uses the Singular Value Decomposition (SVD) of the fundamental matrix, which leads to a particularly simple form of the Kruppa equations optimized by conjugate gradient method. The derivation doesn't need the somewhat non-intuitive geometric concept of the absolute conic. After the projective depths are estimated, the non-singular 4x4 matrix is obtained to realize the Euclidean reconstruction. Experimental results demonstrate the effectiveness of the proposed method.

Paper Details

Date Published: 25 September 2003
PDF: 4 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539017
Show Author Affiliations
Guanyong Wu, Anhui Univ. (China)
Quanbing Zhang, Anhui Univ. (China)
Nian Wang, Anhui Univ. (China)
Sui Wei, Anhui Univ. (China)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

© SPIE. Terms of Use
Back to Top