Visual Tunnel Analysis for Visibility Prediction and Camera Planning
Abstract
A sequence of images taken along a camera trajectory captures a subset of scene appearance. If visibility space is the space that encapsulates the appearance of the scene at every conceivable pose and viewing angle, then the act of acquiring the image sequence constitutes "carving a volume in visibility space." We call such a volume a visual tunnel. The analysis of the visual tunnel allows us to do the following: predict the range of virtual camera poses in which the images can be reconstructed totally using the captured rays, predict which parts of the image can be generated for a given virtual camera pose, and plan camera paths for scene visualization at desired locations. We describe our visual tunnel concept and provide illustrative examples in 2D and 3D.
Cite
Text
Kang et al. "Visual Tunnel Analysis for Visibility Prediction and Camera Planning." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000. doi:10.1109/CVPR.2000.854780Markdown
[Kang et al. "Visual Tunnel Analysis for Visibility Prediction and Camera Planning." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2000.](https://mlanthology.org/cvpr/2000/kang2000cvpr-visual/) doi:10.1109/CVPR.2000.854780BibTeX
@inproceedings{kang2000cvpr-visual,
title = {{Visual Tunnel Analysis for Visibility Prediction and Camera Planning}},
author = {Kang, Sing Bing and Sloan, Peter-Pike J. and Seitz, Steven M.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2000},
pages = {2195-2202},
doi = {10.1109/CVPR.2000.854780},
url = {https://mlanthology.org/cvpr/2000/kang2000cvpr-visual/}
}