Panoramic 3D Reconstruction Using Rotational Stereo Camera with Simple Epipolar Constraints
Abstract
In this paper, we propose a novel method for panoramic 3D scene recovery using rotational stereo cameras with simple epipolar constraints. By rotating two parallel stereo cameras about a vertical axis with a constant velocity, we acquire two sampled spacio-temporal volumes which are made of the sequential images captured by a uniform angular interval. The two spacio-temporal volumes can be resampled into a set of multi-perspective panoramas. We analyze the epipolar geometry among images (panoramas and original images) of two spacio-temporal volumes. The result shows that only three types of simple epipolar constraints (epipolar line is row or column of image) exist in the two spacio-temporal volumes. Then we compute a depth map from four image pairs using a multi-baseline algorithm with the three types of epipolar constraints; that is horizontal, vertical and combination of them. Experimental results using both synthetic and real images show that our approach produces high quality panoramic 3D reconstruction.
Cite
Text
Jiang et al. "Panoramic 3D Reconstruction Using Rotational Stereo Camera with Simple Epipolar Constraints." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006. doi:10.1109/CVPR.2006.217Markdown
[Jiang et al. "Panoramic 3D Reconstruction Using Rotational Stereo Camera with Simple Epipolar Constraints." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2006.](https://mlanthology.org/cvpr/2006/jiang2006cvpr-panoramic/) doi:10.1109/CVPR.2006.217BibTeX
@inproceedings{jiang2006cvpr-panoramic,
title = {{Panoramic 3D Reconstruction Using Rotational Stereo Camera with Simple Epipolar Constraints}},
author = {Jiang, Wei and Okutomi, Masatoshi and Sugimoto, Shigeki},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2006},
pages = {371-378},
doi = {10.1109/CVPR.2006.217},
url = {https://mlanthology.org/cvpr/2006/jiang2006cvpr-panoramic/}
}