A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Human motion analysis: a review
Computer Vision and Image Understanding
Real-Time Animation of Realistic Virtual Humans
IEEE Computer Graphics and Applications
Skeleton-Based Motion Capture for Robust Reconstruction of Human Motion
CA '00 Proceedings of the Computer Animation
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
View-dependent real-time 3d video compression for mobile devices
MM '08 Proceedings of the 16th ACM international conference on Multimedia
M-TEEVE: real-time 3D video interaction and broadcasting framework for mobile devices
Proceedings of the 2nd International Conference on Immersive Telecommunications
Real-time remote rendering of 3D video for mobile devices
MM '09 Proceedings of the 17th ACM international conference on Multimedia
A real-time remote rendering system for interactive mobile graphics
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special section of best papers of ACM multimedia 2011, and special section on 3D mobile multimedia
Effective semi-autonomous telepresence
Robot Soccer World Cup XV
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Image-based full body 3D reconstruction for tele-immersive applications generates large amount of data points, which have to be sent through the network in real-time. In this paper we introduce a skeleton-based compression method using motion estimation where kinematic parameters of the human body are extracted from the point cloud data in each frame. First we address the issues regarding the data capturing and transfer to a remote site for the tele-immersive collaboration. We compare the results of the existing compression methods and the proposed skeleton-based compression technique. We examine robustness and efficiency of the algorithm through experimental results with our multicamera tele-immersion system. The proposed skeleton-based method provides high and flexible compression ratios (from 50:1 to 5000:1) with reasonable reconstruction quality (peak signal-to-noise ratio from 28 to 31 dB).