Sequential projective reconstruction with factorization

Authors:
Xiaolong Xu;Koichi Harada
Affiliations:
Graduate School of Information Engineering, Hiroshima University, Japan;Graduate School of Information Engineering, Hiroshima University, Japan
Venue:
Machine Graphics & Vision International Journal
Year:
2003

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Abstract

The objective of the present study is to propose a new sequential projective factorization approach for recovering the structure and motion. In contrast to the previous sequential factorization methods or nonlinear filter methods, it starts with the first two images and the accurate result can be obtained even for the first image pair without considering provision of a reliable initial estimation. In each recursive step, the infinite sequences can be effectively handled while keeping the size of the factorization matrix unchanged. The experimental data in the paper show that sufficient accuracy can be attained with absence of noise.