Depending on the amount of data to process, file generation may take longer.

If it takes too long to generate, you can limit the data by, for example, reducing the range of years.

Chapter

Download BibTeX

Title

On Tracking and Matching in Vision Based Navigation

Authors

[ 1 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee

Year of publication

2014

Chapter type

paper

Publication language

english

Abstract

EN The paper presents a thorough comparative analysis of the feature tracking and the feature matching approaches applied to the visual navigation. The evaluation was performed on a synthetic dataset with perfect ground truth to assure maximum reliability of results. The presented results include the analysis of both the feature localization accuracy and the computational costs of different methods. Additionally, the distribution of the uncertainty of the features localization was analyzed and parametrized.

Pages (from - to)

461 - 468

DOI

10.1007/978-3-319-11755-3_51

URL

https://link.springer.com/chapter/10.1007/978-3-319-11755-3_51

Book

Image Analysis and Recognition : 11th International Conference, ICIAR 2014, Vilamoura, Portugal, 22-24 October, 2014, Proceedings, Part II

Presented on

11th International Conference on Image Analysis and Recognition, ICIAR 2014, 22-24.10.2014, Vilamoura, Portugal

Publication indexed in

WoS (15)

This website uses cookies to remember the authenticated session of the user. For more information, read about Cookies and Privacy Policy.