English

A Correspondence Relaxation Approach for 3D Shape Reconstruction

Computer Vision and Pattern Recognition 2017-05-16 v1 Graphics

Abstract

This paper presents a new method for 3D shape reconstruction based on two existing methods. A 3D reconstruction from a single photograph is introduced by both papers: the first one uses a photograph and a set of existing 3D model to generate the 3D object in the photograph, while the second one uses a photograph and a selected similar model to create the 3D object in the photograph. According to their difference, we propose a relaxation based method for more accurate correspondence establishment and shape recovery. The experiment demonstrates promising results compared to the state-of-the-art work on 3D shape estimation.

Keywords

Cite

@article{arxiv.1705.05016,
  title  = {A Correspondence Relaxation Approach for 3D Shape Reconstruction},
  author = {Yong Khoo},
  journal= {arXiv preprint arXiv:1705.05016},
  year   = {2017}
}
R2 v1 2026-06-22T19:46:37.783Z