Surface Segmentation from Stereo
Abstract
An algorithm for extracting and segmenting surface descriptions from stereo images is presented. Compared with the advance of range image segmentation, the progress of surface segmentation from stereo images is slow. The algorithm integrates the boundary-based and region-based approaches to achieve more satisfactory segmentation results. The algorithm yields such a rich description of a scene in terms of global surface patches and closed surface boundaries. These shape primitives are useful for subsequent high-level processing.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
Cite
Text
Chen and Lin. "Surface Segmentation from Stereo." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992. doi:10.1109/CVPR.1992.223145Markdown
[Chen and Lin. "Surface Segmentation from Stereo." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1992.](https://mlanthology.org/cvpr/1992/chen1992cvpr-surface-a/) doi:10.1109/CVPR.1992.223145BibTeX
@inproceedings{chen1992cvpr-surface-a,
title = {{Surface Segmentation from Stereo}},
author = {Chen, Liang-Hua and Lin, Wei-Chung},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1992},
pages = {493-498},
doi = {10.1109/CVPR.1992.223145},
url = {https://mlanthology.org/cvpr/1992/chen1992cvpr-surface-a/}
}