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_13

Markdown

[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_13

BibTeX

@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/}
}