DocumentCode :
2479919
Title :
Pyramidal Multi-level Features for the Robot Vision@ICPR 2010 Challenge
Author :
Paris, Sébastien ; Glotin, Hervé
Author_Institution :
LSIS DYNI, Univ Paul Cezanne, Marseille, France
fYear :
2010
fDate :
23-26 Aug. 2010
Firstpage :
2949
Lastpage :
2952
Abstract :
This paper combines and proposes two novel multilevel spatial pyramidal (sp) features: spELBP (Extended Local Binary Pattern), spELBOP (Extended Local Binary Orientation Pattern) and spHOEE (Histogram of Oriented Edge Energy). These features feed state-of-the-art SVM algorithms for the localization of a robot in indoor environments. Two tasks are associated with the RobotVision@ICPR 2010 Challenge, the first one uses only a frame of stereoscopic images, the second takes into account the dynamics of the robot for improving results. Our scores are ranked 3rd for Task1 and 1st for Task2.
Keywords :
robot vision; support vector machines; RobotVision@ICPR 2010 challenge; SVM algorithms; extended local binary orientation pattern; extended local binary pattern; histogram of oriented edge energy; multilevel spatial pyramidal features; pyramidal multilevel features; robot localization; Databases; Encoding; Erbium; Histograms; Kernel; Robots; Support vector machines; LBP; SVM; Vision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition (ICPR), 2010 20th International Conference on
Conference_Location :
Istanbul
ISSN :
1051-4651
Print_ISBN :
978-1-4244-7542-1
Type :
conf
DOI :
10.1109/ICPR.2010.1143
Filename :
5595908
Link To Document :
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