Computing Stereo Correspondences in the Presence of Narrow Occluding Objects
Abstract
Contemporary stereo correspondence algorithms disambiguate multiple candidate matches by using a spatial hierarchy mechanism. Narrow occluding objects in 3-D scenes cannot be handled by the spatial hierarchy mechanism alone. The authors propose a dynamic disparity search (DDS) framework that combines the spatial hierarchy mechanism with a new disparity hierarchy mechanism, to reduce the stereo matching errors caused by narrow occluding objects. They demonstrate the merits of the DDS approach on real stereo images.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Dhond and Aggarwal. "Computing Stereo Correspondences in the Presence of Narrow Occluding Objects." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223180Markdown
[Dhond and Aggarwal. "Computing Stereo Correspondences in the Presence of Narrow Occluding Objects." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/dhond1992cvpr-computing/) doi:10.1109/CVPR.1992.223180BibTeX
@inproceedings{dhond1992cvpr-computing,
title = {{Computing Stereo Correspondences in the Presence of Narrow Occluding Objects}},
author = {Dhond, Umesh R. and Aggarwal, Jake K.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1992},
pages = {758-760},
doi = {10.1109/CVPR.1992.223180},
url = {https://mlanthology.org/cvpr/1992/dhond1992cvpr-computing/}
}