Character Reconstruction and Animation from Monocular Sequence of Images

Abstract

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.