ML Anthology

An Embodied Approach to Perceptual Grouping

Artur M. Arsénio
CVPR 2004 pp. 51
doi:10.1109/CVPR.2004.300 /cvpr/2004/arsenio2004cvpr-embodied/

Abstract

This paper presents a new embodied approach for object segmentation by a humanoid robot. It relies on interactions with a human teacher that drives the robot through the process of segmenting objects from arbitrarily complex, non-static images. Objects from a large spectrum of different scenarios were successfully segmented by the proposed algorithms.

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Cite

Text

Arsénio. "An Embodied Approach to Perceptual Grouping." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004. doi:10.1109/CVPR.2004.300

Markdown

[Arsénio. "An Embodied Approach to Perceptual Grouping." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2004.](https://mlanthology.org/cvpr/2004/arsenio2004cvpr-embodied/) doi:10.1109/CVPR.2004.300

BibTeX

@inproceedings{arsenio2004cvpr-embodied,
  title     = {{An Embodied Approach to Perceptual Grouping}},
  author    = {Arsénio, Artur M.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
  year      = {2004},
  pages     = {51},
  doi       = {10.1109/CVPR.2004.300},
  url       = {https://mlanthology.org/cvpr/2004/arsenio2004cvpr-embodied/}
}