Subset Selection for Active Object Recognition
Abstract
This paper presents an algorithm for constructing object representations suitable for recognition. The system automatically selects a representative subset of the views of the object while constructing the eigenspace basis. These views are actively located for object identification and pose determination. All processing is performed on-line. The camera is actively positioned during both representation and recognition. When tested with 240 views for each of seven objects, the system achieves 100% accurate object recognition and pose determination. These results are shown to degrade gracefully as conditions deteriorate.
Cite
Text
Winkeler et al. "Subset Selection for Active Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999. doi:10.1109/CVPR.1999.784729Markdown
[Winkeler et al. "Subset Selection for Active Object Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition, 1999.](https://mlanthology.org/cvpr/1999/winkeler1999cvpr-subset/) doi:10.1109/CVPR.1999.784729BibTeX
@inproceedings{winkeler1999cvpr-subset,
title = {{Subset Selection for Active Object Recognition}},
author = {Winkeler, Jay and Manjunath, B. S. and Chandrasekaran, Shivkumar},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition},
year = {1999},
pages = {2511-2516},
doi = {10.1109/CVPR.1999.784729},
url = {https://mlanthology.org/cvpr/1999/winkeler1999cvpr-subset/}
}