An Embodied Approach to Perceptual Grouping
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.
Cite
Text
Arsénio. "An Embodied Approach to Perceptual Grouping." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2004. doi:10.1109/CVPR.2004.300Markdown
[Arsénio. "An Embodied Approach to Perceptual Grouping." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2004.](https://mlanthology.org/cvprw/2004/arsenio2004cvprw-embodied/) doi:10.1109/CVPR.2004.300BibTeX
@inproceedings{arsenio2004cvprw-embodied,
title = {{An Embodied Approach to Perceptual Grouping}},
author = {Arsénio, Artur M.},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
year = {2004},
pages = {51},
doi = {10.1109/CVPR.2004.300},
url = {https://mlanthology.org/cvprw/2004/arsenio2004cvprw-embodied/}
}