caa a22 4500 467914869 CHVBK 20180406152859.0 cr unu---uuuuu 170328e20060301xx s 000 0 eng 10.1007/s11263-005-3675-0 doi (NATIONALLICENCE)springer-10.1007/s11263-005-3675-0 Projective Reconstruction from Multiple Views with Minimization of 2D Reprojection Error [Elektronische Daten] [Y. Hung, W. Tang] Abstract.: The problem of projective reconstruction by minimization of the 2D reprojection error in multiple images is considered. Although bundle adjustment techniques can be used to minimize the 2D reprojection error, these methods being based on nonlinear optimization algorithms require a good starting point. Quasi-linear algorithms with better global convergence properties can be used to generate an initial solution before submitting it to bundle adjustment for refinement. In this paper, we propose a factorization-based method to integrate the initial search as well as the bundle adjustment into a single algorithm consisting of a sequence of weighted least-squares problems, in which a control parameter is initially set to a relaxed state to allow the search of a good initial solution, and subsequently tightened up to force the final solution to approach a minimum point of the 2D reprojection error. The proposed algorithm is guaranteed to converge. Our method readily handles images with missing points. Springer Science + Business Media, Inc., 2006 multiple views nationallicence projective reconstruction nationallicence structure and motion nationallicence sub-space method nationallicence factorization method nationallicence projective bundle adjustment nationallicence Hung Y. Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong aut Tang W. Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong aut International Journal of Computer Vision Kluwer Academic Publishers 66/3(2006-03-01), 305-317 0920-5691 66:3<305 2006 66 11263 https://doi.org/10.1007/s11263-005-3675-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11263-005-3675-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hung Y. Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong aut NATIONALLICENCE 700 1- Tang W. Department of Electrical and Electronic Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong aut NATIONALLICENCE 773 0- International Journal of Computer Vision Kluwer Academic Publishers 66/3(2006-03-01), 305-317 0920-5691 66:3<305 2006 66 11263 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer