Progressive Compression of 3D Objects with an Adaptive Quantization

TL;DR

This paper introduces a progressive 3D mesh compression technique that adaptively quantizes vertices to optimize the balance between compression rate and geometric fidelity, improving quality and efficiency.

Contribution

It proposes an irregular multi-resolution analysis framework with adaptive quantization for progressive mesh compression, enhancing rate-distortion performance.

Findings

Achieves competitive compression ratios and quality compared to prior methods.

Improves geometric approximation at each resolution level.

Demonstrates effective rate-distortion trade-off optimization.

Abstract

This paper presents a new progressive compression method for triangular meshes. This method, in fact, is based on a schema of irregular multi-resolution analysis and is centered on the optimization of the rate-distortion trade-off. The quantization precision is adapted to each vertex during the encoding / decoding process to optimize the rate-distortion compromise. The Optimization of the treated mesh geometry improves the approximation quality and the compression ratio at each level of resolution. The experimental results show that the proposed algorithm gives competitive results compared to the previous works dealing with the rate-distortion compromise.