English

Precision Enhancement of 3D Surfaces from Multiple Compressed Depth Maps

Computer Vision and Pattern Recognition 2023-07-19 v1

Abstract

In texture-plus-depth representation of a 3D scene, depth maps from different camera viewpoints are typically lossily compressed via the classical transform coding / coefficient quantization paradigm. In this paper we propose to reduce distortion of the decoded depth maps due to quantization. The key observation is that depth maps from different viewpoints constitute multiple descriptions (MD) of the same 3D scene. Considering the MD jointly, we perform a POCS-like iterative procedure to project a reconstructed signal from one depth map to the other and back, so that the converged depth maps have higher precision than the original quantized versions.

Keywords

Cite

@article{arxiv.1405.2062,
  title  = {Precision Enhancement of 3D Surfaces from Multiple Compressed Depth Maps},
  author = {Pengfei Wan and Gene Cheung and Philip A. Chou and Dinei Florencio and Cha Zhang and Oscar C. Au},
  journal= {arXiv preprint arXiv:1405.2062},
  year   = {2023}
}

Comments

This work was accepted as ongoing work paper in IEEE MMSP'2013

R2 v1 2026-06-22T04:09:36.476Z