ML Anthology

Object Recognition with Hierarchical Stel Models

Alessandro Perina, Nebojsa Jojic, Umberto Castellani, Marco Cristani, Vittorio Murino
ECCV 2010 pp. 15-28
doi:10.1007/978-3-642-15567-3_2 /eccv/2010/perina2010eccv-object/

Abstract

We propose a new generative model, and a new image similarity kernel based on a linked hierarchy of probabilistic segmentations. The model is used to efficiently segment multiple images into a consistent set of image regions. The segmentations are provided at several levels of granularity and links among them are automatically provided. Model training and inference in it is faster than most local feature extraction algorithms, and yet the provided image segmentation, and the segment matching among images provide a rich backdrop for image recognition, segmentation and registration tasks.

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Text

Perina et al. "Object Recognition with Hierarchical Stel Models." European Conference on Computer Vision, 2010. doi:10.1007/978-3-642-15567-3_2

Markdown

[Perina et al. "Object Recognition with Hierarchical Stel Models." European Conference on Computer Vision, 2010.](https://mlanthology.org/eccv/2010/perina2010eccv-object/) doi:10.1007/978-3-642-15567-3_2

BibTeX

@inproceedings{perina2010eccv-object,
  title     = {{Object Recognition with Hierarchical Stel Models}},
  author    = {Perina, Alessandro and Jojic, Nebojsa and Castellani, Umberto and Cristani, Marco and Murino, Vittorio},
  booktitle = {European Conference on Computer Vision},
  year      = {2010},
  pages     = {15-28},
  doi       = {10.1007/978-3-642-15567-3_2},
  url       = {https://mlanthology.org/eccv/2010/perina2010eccv-object/}
}