Progressive Compression of 3D Objects with an Adaptive Quantization
This work addresses efficient storage and transmission of 3D objects for applications like computer graphics and virtual reality, but it is incremental as it builds on existing compression techniques.
The paper tackles progressive compression of 3D triangular meshes by optimizing the rate-distortion trade-off through adaptive quantization per vertex, resulting in improved approximation quality and compression ratio at each resolution level, with experimental results showing competitive performance compared to prior methods.
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.