Character Reconstruction and Animation from Monocular Sequence of Images
Fabio Remondino · Repository for Publications and Research Data (ETH Zurich) · 2004
In this paper we present different methods for the calibration and orientation of monocular image sequences and the 3Dreconstruction of human characters. Three different situations are considered: a static character imaged with a moving camera, amoving character imaged with a fix camera and a moving character imaged with a moving camera. A self-acquired sequence is usedin the first case while in the other cases we used existing sequences available on the Internet or digitized from old videotapes. Mostof the image-based techniques use probabilistic approaches to model a character from monocular sequences; on the other hand weuse a determinist approach, recovering character’s model and movement through a camera model. The recovered human models canbe used for visualization purposes, to generate new virtual scenes of the analyzed sequence or for gait analysis.