A novel similarity-invariant line descriptor for geometric map registration

Yammine G, Wige E, Simmet F, Niederkorn D, Kaup A (2013)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2013

Pages Range: 3017-3021

Article Number: 6738621

Event location: Melbourne, VIC AU

ISBN: 9781479923410

DOI: 10.1109/ICIP.2013.6738621

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.

Authors with CRIS profile

Gilbert Yammine Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Eugen Wige Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

Involved external institutions

Audi AG DE Germany (DE)

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.

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