2015/12/08 by Masoud Aghamohamadian-Sharbaf, Aghamohamadian-Sharbaf, Masoud, Ahmadreza Heravi +3
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
paper · pdf · doi:10.48550/arxiv.1512.02357
arxiv created 2015/12/08 · arxiv updated 2015/12/09
We presented a separation based optimization algorithm which, rather than optimization the entire variables altogether, This would allow us to employ: 1) a class of nonlinear functions with three variables and 2) a convex quadratic multivariable polynomial, for minimization of reprojection error. Neglecting the inversion required to minimize the nonlinear functions, in this paper we demonstrate how separation allows eradication of matrix inversion.