3-D reconstruction of static human body shape from image sequence

摘要

The generation of 3-D models from uncalibrated image sequences is a challenging problem that has been investigated in many research activities in the last decade. In particular, a topic of great interest is the modeling of realistic humans, for animation, manufacture or medicine purposes. Nowadays the common approaches try to reconstruct the human body using specialized hardware (laser scanners) resulting in high costs. In this contribution a different method for the three-dimensional reconstruction of static human body shape from monocular image sequence is presented. The core of the presented work describes the calibration and orientation of the images, mostly based on photogrammetric techniques. Then the process includes also the extraction of correspondences on the body using a least squares matching algorithm and the reconstruction of the 3-D body model in point cloud form.