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