Shape Recovery from Hybrid Feature Points with Factorization Method

We are developing shape recovery technology that can semi-automatically process image sequences using the idea of ” Shape from Motion” . In this paper, we investigate an acquisition and recovery method that processes hybrid feature points extracted from both high-resolution images and video images using the factorization method. The 3D object models are assumed to have N-point column shape, and are recovered on a plane formed from some points on the ground (delta points). The delta points correspond to orthometric height data captured by a camera parameter measurement sensor system. Acquired and recovered 3D models are mapped on Tokyo Datum. The 2D feature points measured using both hybrid feature tracking and normal feature tracking are decomposed into 3D object points using the factorization method. Comparison experiments show that the hybrid method is more effective and accurate in acquiring and recovering 3D object shape than a earlier method. Moreover, we confirm that the hybrid method yields accurately shaped top surfaces of building.