A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms
Abstract
Over the past few years, several methods for segmenting a scene containing multiple rigidly moving objects have been proposed. However, most existing methods have been tested on a handful of sequences only, and each method has been often tested on a different set of sequences. Therefore, the comparison of different methods has been fairly limited. In this paper, we compare four 3D motion segmentation algorithms for affine cameras on a benchmark of 155 motion sequences of checkerboard, traffic, and articulated scenes.
Cite
Text
Tron and Vidal. "A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007. doi:10.1109/CVPR.2007.382974Markdown
[Tron and Vidal. "A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2007.](https://mlanthology.org/cvpr/2007/tron2007cvpr-benchmark/) doi:10.1109/CVPR.2007.382974BibTeX
@inproceedings{tron2007cvpr-benchmark,
title = {{A Benchmark for the Comparison of 3-D Motion Segmentation Algorithms}},
author = {Tron, Roberto and Vidal, René},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {2007},
doi = {10.1109/CVPR.2007.382974},
url = {https://mlanthology.org/cvpr/2007/tron2007cvpr-benchmark/}
}