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Next: Introduction

Proxy-Based Compression of $ 2\frac{1}{2}$D Structure
of Dynamic Events for Tele-immersive Systems

Abstract:

Capture of dynamic events is an active research area today. Capturing the $ 2\frac{1}{2}$D geometric structure and photometric appearance of dynamic scenes finds applications in 3D tele-conferencing systems, 3DTV etc. The captured ``depth movies'' contain aligned sequences of depth maps and textures and are often streamed to a distant location for immersive viewing. The depth maps are heavy and need efficient compression schemes. In this paper, we present a scheme to compress depth movies of human actors using a parametric proxy model for the underlying action. We use a generic articulated human model as the proxy and the various joint angles as its parameters for each time instant to represent a common prediction of the scene structure. The difference or residue between the captured depth and the depth of the proxy represents the scene to exploit spatial coherence. Differences in residues across time are used to exploit temporal coherence. Intra-frame coded frames and difference-coded frames provide random access and high compression. We show results on several synthetic and real actions to demonstrate the compression ratio and resulting quality using a depth-based rendering of the decoded scene.




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Next: Introduction
2008-04-27