A fully parallel 3D thinning algorithm and its applications
Computer Vision and Image Understanding
Towards Automatic Creation of Realistic Anthropomorphic Models for Realtime 3D Telecommunication
Journal of VLSI Signal Processing Systems - special issue on multimedia signal processing
Three-Dimensional Human Body Model Acquisition from Multiple Views
International Journal of Computer Vision
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Model-Based Estimation of 3D Human Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Character Animation 2: Essential Techniques
Digital Character Animation 2: Essential Techniques
Fast Realistic Human Body Deformations for Animation and VR Applications
CGI '96 Proceedings of the 1996 Conference on Computer Graphics International
Tracking People with Twists and Exponential Maps
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
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In this paper we propose a method for the automated acquisition of 3D human models for real-time animation. The individual to be modelled is placed in a monochrome environment and captured simultaneously by a set of 16 calibrated cameras distributed on a metal support above and around the head. A number of image sets is taken from various postures. A binary volume model will then be reconstructed from each image set via a shape-from-silhouette approach. Based on the surface shape and a reliable 3D skeletonisation of the volume model, a parametric human body template is fitted to each captured posture independently. Finally, from the parameter sets obtained initially, one unique set of posture-invariant parameters and the corresponding multiple sets of posture-dependent parameters are estimated using iterative optimisation. The resulting model consists of a fully textured triangular surface mesh over a bone structure, ready to be used in real-time applications such as 3D video-conferencing or off-the-shelf multi-player games.