ML Anthology

Comparing Image-Based Localization Methods

Robert Sim, Gregory Dudek
IJCAI 2003 pp. 1560-1562
/ijcai/2003/sim2003ijcai-comparing/

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. 1

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Text

Sim and Dudek. "Comparing Image-Based Localization Methods." International Joint Conference on Artificial Intelligence, 2003.

Markdown

[Sim and Dudek. "Comparing Image-Based Localization Methods." International Joint Conference on Artificial Intelligence, 2003.](https://mlanthology.org/ijcai/2003/sim2003ijcai-comparing/)

BibTeX

@inproceedings{sim2003ijcai-comparing,
  title     = {{Comparing Image-Based Localization Methods}},
  author    = {Sim, Robert and Dudek, Gregory},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2003},
  pages     = {1560-1562},
  url       = {https://mlanthology.org/ijcai/2003/sim2003ijcai-comparing/}
}