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Updated: Jun 17, 2026

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
11:34

High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques

Published on: December 3, 2013

Volumetric Video Compression for Interactive Playback.

Bong-Soo Sohn1, Chandrajit Bajaj, Vinay Siddavanahalli

  • 1Department of Computer Sciences and ICES, University of Texas, Austin, TX 78712.

Computer Vision and Image Understanding : CVIU
|September 28, 2011
PubMed
Summary
This summary is machine-generated.

We developed a novel compression scheme for interactive visualization of volumetric video. This method enables fast reconstruction and high compression ratios for time-varying volumetric data, improving remote rendering performance.

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Area of Science:

  • Computer Graphics
  • Data Visualization
  • Scientific Computing

Background:

  • Interactive remote visualization of large, time-varying volumetric data is hindered by transmission and reconstruction bottlenecks.
  • Existing methods struggle with the massive data sizes of volumetric frames in dynamic 3D datasets.

Purpose of the Study:

  • To develop an efficient volumetric video system supporting interactive browsing of compressed time-varying volumetric features.
  • To address the main bottlenecks in transmitting and reconstructing large time-varying volume and surface data for remote visualization.

Main Methods:

  • A unified compression scheme for encoding time-varying volumetric features, enabling on-line reconstruction and rendering.
  • Decomposition of volumetric data into small blocks, encoding only significant blocks contributing to isosurfaces and interval volumes.
  • Client-side rendering optimization for time-varying volumetric features.

Main Results:

  • The proposed compression scheme achieves a high compression ratio.
  • Fast reconstruction speeds are realized for the volumetric data.
  • The system proves effective for client-side rendering of time-varying volumetric features.

Conclusions:

  • The developed compression scheme and volumetric video system effectively overcome transmission and reconstruction challenges.
  • The method enables efficient interactive browsing and remote visualization of complex, dynamic 3D datasets.
  • High compression ratios and fast reconstruction facilitate improved performance in time-varying volumetric data rendering.