A novel similarity-invariant line descriptor for geometric map registration

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Yammine G, Wige E, Simmet F, Niederkorn D, Kaup A
Publication year: 2013
Pages range: 3017-3021
ISBN: 9781479923410
Language: English


Abstract


In this paper we present a new line descriptor that can be used in the process of tracking 2D navigation maps that are low in texture details. The problem of tracking this kind of maps is very important in the development and testing phases of a navigation system. In order to track the motion of the map, which could be a translation, rotation, or scale (also known as similarity transform), line segments are used as features and are matched between two consecutive frames using the proposed descriptor in order to determine the motion between the frames. The descriptor is shown to be very robust against typical translation, rotation, and scale transformations, while requiring an acceptable processing time. © 2013 IEEE.


FAU Authors / FAU Editors

Kaup, André Prof. Dr.-Ing.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Wige, Eugen
Lehrstuhl für Multimediakommunikation und Signalverarbeitung
Yammine, Gilbert
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


External institutions with authors

Audi AG


How to cite

APA:
Yammine, G., Wige, E., Simmet, F., Niederkorn, D., & Kaup, A. (2013). A novel similarity-invariant line descriptor for geometric map registration. In Proceedings of the 2013 20th IEEE International Conference on Image Processing, ICIP 2013 (pp. 3017-3021). Melbourne, VIC, AU.

MLA:
Yammine, Gilbert, et al. "A novel similarity-invariant line descriptor for geometric map registration." Proceedings of the 2013 20th IEEE International Conference on Image Processing, ICIP 2013, Melbourne, VIC 2013. 3017-3021.

BibTeX: 

Last updated on 2019-24-04 at 19:08