Comparing image-based localization methods
Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence. Pages 1560-1561.
Abstract
This paper compares alternative approaches to pose estimation using visual cues from the environment. We examine approaches that derive pose estimates from global image properties, such as principal components analysis (PCA) versus from local image properties, commonly referred to as landmarks. We also consider the failure-modes of the different methods. Our work is validated with experimental results .
Robert Sim, and Gregory Dudek. 2003. Comparing image-based localization methods. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03. IJCAI, 1560–1561. https://ijcai.org/proceedings/2003/272
Sim, R., & Dudek, G. (2003). Comparing image-based localization methods. In Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 (pp. 1560–1561). IJCAI. https://ijcai.org/proceedings/2003/272
@inproceedings{ijcai2003p272,
title = {Comparing image-based localization methods},
author = {Sim, Robert and Dudek, Gregory},
booktitle = {Proceedings of the Eighteenth International Joint Conference on
Artificial Intelligence, {IJCAI-03}},
publisher = {International Joint Conferences on Artificial Intelligence},
editor = {Georg Gottlob},
pages = {1560--1561},
year = {2003},
url = {https://ijcai.org/proceedings/2003/272},
}
TY - CPAPER TI - Comparing image-based localization methods AU - Sim, Robert AU - Dudek, Gregory T2 - Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence, IJCAI-03 PB - International Joint Conferences on Artificial Intelligence PY - 2003 SP - 1560 EP - 1561 UR - https://ijcai.org/proceedings/2003/272 ER -Copied
Machine-readable versions of this paper, for tools and AI agents:
