Hierarchical Analysis of Low-Contrast Temporal Images with Linear Scale Space
Abstract
This paper focuses on the spatio-temporal analysis to the topology of topography of temporal gray-value images. We extract a sequence of trees which expresses the hierarchical structure of a temporal gray-value image using the linear scale space analysis. This hierarchical features of temporal images provide topological and geometrical information for the global understanding of temporal images.
Cite
Text
Sakai and Imiya. "Hierarchical Analysis of Low-Contrast Temporal Images with Linear Scale Space." European Conference on Computer Vision, 2004. doi:10.1007/978-3-540-27816-0_13Markdown
[Sakai and Imiya. "Hierarchical Analysis of Low-Contrast Temporal Images with Linear Scale Space." European Conference on Computer Vision, 2004.](https://mlanthology.org/eccv/2004/sakai2004eccv-hierarchical/) doi:10.1007/978-3-540-27816-0_13BibTeX
@inproceedings{sakai2004eccv-hierarchical,
title = {{Hierarchical Analysis of Low-Contrast Temporal Images with Linear Scale Space}},
author = {Sakai, Tomoya and Imiya, Atsushi},
booktitle = {European Conference on Computer Vision},
year = {2004},
pages = {145-156},
doi = {10.1007/978-3-540-27816-0_13},
url = {https://mlanthology.org/eccv/2004/sakai2004eccv-hierarchical/}
}