Sequential projective reconstruction with factorization

• Autorzy: Xu X. , Harada K.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

sequential; projective factorization; structure from motion

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2003
• Tom: Vol. 12, No. 4
• Strony: 477--487
• Opis fizyczny: Bibliogr. 10 poz., rys., wykr.

Twórcy

autor

Xu X.

• Graduate School of Information Engineering, Hiroshima University, Japan

autor

Harada K.

• Graduate School of Information Engineering, Hiroshima University, Japan

Bibliografia

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