Single and Multi-View Reconstruction of Structured Scenes
Etienne Grossmann, D. Ortín, José Santos-Victor · 2002
We present a method for reconstruction of structured scenes from one or more views, in which the user provides image points and geometric knowledge-coplanarity, ratios of distances, angles- about the corresponding 3D points. First, the geometric information is analyzed. Then van-ishing points are estimated, from which camera calibration is obtained. Finally, an algebraic method gives the recon-struction. Our algebraic reconstruction method improves the present state-of-the-art in many aspects: geometric knowl-edge includes not only planarity and alignment information, but also known ratios of lengths. The single and multiple-view cases are treated in the same way and the method de-tects whether the input data is sufficient to define a rigid re-construction. We benchmark, using synthetic data, the var-ious steps of the estimation process and show reconstruc-tions obtained from real-world situations in which other methods would fail. We also present a new method for maximum likelihood estimation of vanishing points. 1