A Linear and Direct Method for Projective Reconstruction
The projective recovery of 3D point structure from multiple images has been one of the classical problems in computer vision. Existing methods for projective reconstruction usually require a priori estimation of a consistent set of projective depths which in turn require the estimation of the projection matrices or the fundamental matrices in advance. Those methods are usually nonlinear, timeconsuming, and sometimes inaccurate. This paper presents a direct and linear method for projective reconstruction. First, a 3D point structure is characterized by representing other points as linear combinations of some reference points. Next, cross ratios of projective depths are derived linearly. Then coefficients of the representations scaled by ratios of the projective depths are derived linearly. Projective invariants of these-points are ratios of these values.
computer vision projective reconstruction in variant factorization method
WANG Yuanbin ZHANG Bin YAO Tianshun
School of Information Science and Engineering Northeastern University Shenyang,China
国际会议
上海
英文
2640-2644
2009-11-20（万方平台首次上网日期，不代表论文的发表时间）