Affine invariant segmentation by variational method
SIAM Journal on Applied Mathematics
Learning the Statistics of People in Images and Video
International Journal of Computer Vision - Special Issue on Computational Vision at Brown University
Free-viewpoint video of human actors
ACM SIGGRAPH 2003 Papers
The space of human body shapes: reconstruction and parameterization from range scans
ACM SIGGRAPH 2003 Papers
Automatic acquisition and initialization of articulated models
Machine Vision and Applications - Special issue: Human modeling, analysis, and synthesis
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
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In this paper we describe a complete method for building a perceptual user interface in indoor uncontrolled environments. The overall system uses two calibrated cameras and does initialization: it detects user, takes his/her measurements, builds a 3D-Model. It performs matching/tracking for: trunk, head, left arm, right arm and hands. The system is waiting for a user in a predefined posture, once the user has been detected he/she is analysed to take measurements are taken and a 3D-Model is built. Tracking is carried out by a Particle Filter algorithm splited in three steps: tracking of head-trunk, tracking of left arm and tracking of right arm. This proposed divide and conquer solution improves computation time without getting better or similar results than sequential solution. The matching process uses two sub-matching functions, one to compute color and another to compute shape one. Finally the system provides numerical values for joints and end effectors to be used for interactive applications