3-D reconstruction of static human body shape from image sequence Fabio Remondino * Institute of Geodesy and Photogrammetry, Swiss Federal Institute of Technology, ETH-Hoenggerberg, 8093 Zurich, Switzerland Received 10 July 2002; accepted 20 August 2003 Abstract 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 spe- cialized hardware (laser scanners) resulting in high costs. In this contribution a different meth- od 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 ori- entation of the images, mostly based on photogrammetric techniques. Then the process in- cludes 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. Ó 2003 Elsevier Inc. All rights reserved. Keywords: Camera calibration; Image orientation; Least squares matching; Human shape reconstruction 1. Introduction In the last years, great progress in creating and visualizing 3-D models from images has been made, with particular attention to the visual quality of the results. The interests in 3-D object reconstruction are motivated by a wide spectrum of * Fax: +41-1-633-1101. E-mail address: fabio@geod.baug.ethz.ch. URL: http://www.photogrammetry.ethz.ch/. 1077-3142/$ - see front matter Ó 2003 Elsevier Inc. All rights reserved. doi:10.1016/j.cviu.2003.08.006 Computer Vision and Image Understanding 93 (2004) 65–85 www.elsevier.com/locate/cviu