ML Anthology

Integrating Object Affordances with Artificial Visual Attention

Jan Tünnermann, Christian Born, Bärbel Mertsching
ECCVW 2014 pp. 427-437
doi:10.1007/978-3-319-16181-5_32 /eccvw/2014/tunnermann2014eccvw-integrating/

Abstract

Affordances, e.g., grasping possibilities, play a role in the guidance of human attention. We report experiments on the integration of affordance estimation with artificial visual attention in a prototypical model. Furthermore, Growing Neural Gas is discussed as a potential framework for future attention models that deeply integrate affordance, saliency and further attentional mechanisms.

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Cite

Text

Tünnermann et al. "Integrating Object Affordances with Artificial Visual Attention." European Conference on Computer Vision Workshops, 2014. doi:10.1007/978-3-319-16181-5_32

Markdown

[Tünnermann et al. "Integrating Object Affordances with Artificial Visual Attention." European Conference on Computer Vision Workshops, 2014.](https://mlanthology.org/eccvw/2014/tunnermann2014eccvw-integrating/) doi:10.1007/978-3-319-16181-5_32

BibTeX

@inproceedings{tunnermann2014eccvw-integrating,
  title     = {{Integrating Object Affordances with Artificial Visual Attention}},
  author    = {Tünnermann, Jan and Born, Christian and Mertsching, Bärbel},
  booktitle = {European Conference on Computer Vision Workshops},
  year      = {2014},
  pages     = {427-437},
  doi       = {10.1007/978-3-319-16181-5_32},
  url       = {https://mlanthology.org/eccvw/2014/tunnermann2014eccvw-integrating/}
}