3D reconstruction of articulated objects from uncalibrated images
Fabio Remondino · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2002
The goal of computing realistic 3-D models from image sequences is still a challenging problem. In recent years the demand for realistic reconstruction and modeling of objects and human bodies is increasing both for animation and medical applications. In this paper a system for the reconstruction of 3-D models of articulated objects, like human bodies, from uncalibrated images is presented. The scene is seen from different viewpoints and no pre-set knowledge is considered. To extract precise 3-D information from imagery, a calibration procedure must be performed. Therefore, first a camera calibration with Direct Linear Transformation (DLT) is done assuming few control points on the subject. The initial approximations of the interior and exterior orientation computed with DLT are then improved in a general photogrammetric bundle adjustment with self-calibration. Additionally a stereo matching process based on least squares matching extracts a dense set of image correspondences from the sequence. Finally a 3-D point cloud is computed by forward intersection using the calibration data and the matched points. The resulting 3-D model of human body is presented.