DocumentCode :
3281823
Title :
A novel similarity-invariant line descriptor for geometric map registration
Author :
Yammine, G. ; Wige, Eugen ; Simmet, Franz ; Niederkorn, Dieter ; Kaup, Andre
Author_Institution :
Multimedia Commun. & Signal Process., Univ. of Erlangen-Nuremberg, Erlangen, Germany
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
3017
Lastpage :
3021
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.
Keywords :
cartography; feature extraction; image matching; image registration; image texture; object tracking; 2D navigation maps tracking; feature matching; geometric map registration; line segments; rotation transformations; scale transformations; similarity transform; similarity-invariant line descriptor; texture details; translation transformations; line descriptor; motion tracking; navigation maps;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICIP.2013.6738621
Filename :
6738621
Link To Document :
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