ML Anthology

A Sequential Online 3D Reconstruction System Using Dense Stereo Matching

Sosuke Yamao, Mamoru Miura, Shuji Sakai, Koichi Ito, Takafumi Aoki
WACV 2015 pp. 341-348
doi:10.1109/WACV.2015.52 /wacv/2015/yamao2015wacv-sequential/

Abstract

This paper proposes a sequential online 3D reconstruction system using dense stereo matching for a non-expert user, which can sequentially reconstruct accurate and dense 3D point clouds when the new image is captured. The proposed system is based on a novel processing pipeline of sequential online 3D reconstruction with two key techniques: (i) camera parameter estimation of Structure from Motion (SfM) and (ii) dense stereo correspondence matching using Phase-Only Correlation (POC). The user can confirm the reconstruction result and add supplementary images to the system in order to reconstruct a complete 3D model as needed. Through a set of experiments, the proposed system exhibits efficient performance in terms of reconstruction accuracy and computation time compared with the conventional system.

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Cite

Text

Yamao et al. "A Sequential Online 3D Reconstruction System Using Dense Stereo Matching." IEEE/CVF Winter Conference on Applications of Computer Vision, 2015. doi:10.1109/WACV.2015.52

Markdown

[Yamao et al. "A Sequential Online 3D Reconstruction System Using Dense Stereo Matching." IEEE/CVF Winter Conference on Applications of Computer Vision, 2015.](https://mlanthology.org/wacv/2015/yamao2015wacv-sequential/) doi:10.1109/WACV.2015.52

BibTeX

@inproceedings{yamao2015wacv-sequential,
  title     = {{A Sequential Online 3D Reconstruction System Using Dense Stereo Matching}},
  author    = {Yamao, Sosuke and Miura, Mamoru and Sakai, Shuji and Ito, Koichi and Aoki, Takafumi},
  booktitle = {IEEE/CVF Winter Conference on Applications of Computer Vision},
  year      = {2015},
  pages     = {341-348},
  doi       = {10.1109/WACV.2015.52},
  url       = {https://mlanthology.org/wacv/2015/yamao2015wacv-sequential/}
}