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Updated: Jul 20, 2026
11:34
High-resolution, High-speed, Three-dimensional Video Imaging with Digital Fringe Projection Techniques
Published on: December 3, 2013
Semi-regular representation and progressive compression of 3-D dynamic mesh sequences.
Jeong-Hyu Yang1, Chang-Su Kim, Sang-Uk Lee
1LG Electronics, Seoul 151-919, Korea. jayu@lge.com
Summary
This study introduces a novel algorithm for compressing 3D dynamic objects using semi-regular mesh sequences and spatiotemporal wavelet transform. The method significantly improves compression efficiency compared to independent frame encoding.
Area of Science:
- Computer Vision
- Signal Processing
- 3D Graphics
Background:
- Representing and compressing dynamic 3D objects is challenging.
- Existing methods often lack efficiency for complex motion.
- Irregular mesh sequences hinder advanced coding techniques.
Purpose of the Study:
- To develop an efficient algorithm for compressing 3D dynamic objects represented by semi-regular mesh sequences.
- To leverage spatiotemporal wavelet transform for enhanced compression.
- To enable scalability in compression modes.
Main Methods:
- Constructing a semi-regular mesh for the first frame from an irregular sequence.
- Mapping the semi-regular mesh to subsequent frames using hierarchical motion estimation.
- Applying a spatiotemporal wavelet transform for compression.
- Utilizing an embedded coding scheme with SNR and temporal scalability.
Main Results:
- The proposed algorithm successfully generates semi-regular mesh sequences from irregular ones.
- The spatiotemporal wavelet transform effectively compresses the mesh sequences.
- The embedded coding scheme provides both SNR and temporal scalability.
- Achieved significantly better compression performance than static mesh coding.
Conclusions:
- The proposed algorithm offers a superior method for compressing 3D dynamic objects.
- Semi-regular mesh representation combined with spatiotemporal wavelet transform enhances compression efficiency.
- The developed coding scheme supports flexible scalability for various applications.
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