ESTIMATING NONRIGID MOTION FROM POINT AND LINE CORRESPONDENCES

This paper Presents a new algorithm for recovering motion parameters o f non-rigid objects using both point and line correspondences. It requ ires estimating the coefficients of the first fundamental form before and after the motion. This algorithm has several advantages over a pre viously developed algorithm which uses only point correspondences and Gaussian curvature. First, it does not require any assumption on the s patial distribution of the stretching parameter in conformal motion. S econd, the amount of computation is significantly reduced. The algorit hm is tested on both simulated and real data and its performance is ev aluated. Noise sensitivity of the algorithm is also evaluated using Ga ussian noise on simulated data.