Abstract
The generation of 3-D models from uncalibrated 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 real humans. In this paper a method for the 3-D reconstruction of static human body shapes from images acquired with a video-camera is presented. The process includes the orientation and calibration of the sequence, the extraction of correspondences on the body using least squares matching technique and the reconstruction of the 3-D point cloud of the human body. © Springer-Verlag Berlin Heidelberg 2002.
Cite
CITATION STYLE
Remondino, F. (2002). Human body reconstruction from image sequences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2449 LNCS, pp. 50–57). Springer Verlag. https://doi.org/10.1007/3-540-45783-6_7
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