DocumentCode :
3355577
Title :
A hull census transform for scene change detection and recognition towards topological map building
Author :
Wang, Min-Liang ; Lin, Huei-Yung
Author_Institution :
Dept. of Electr. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
fYear :
2010
fDate :
18-22 Oct. 2010
Firstpage :
548
Lastpage :
553
Abstract :
This paper presents a novel encoding method for scene change detection and appearance-based topological localization framework. The relation computation over convex hull points is used to compare the similarity between the scenes. It relies on the relative ordering of the feature strength, not directly on the feature vectors. We first deal with multiple convex hulls over the detected features and then compile statistics for coding on the hull points through a vector magnitude comparison. Finally, the hull points are formed by binary codes. The codes are suitable for scene change detection and visual place recognition by statistical analysis. The experimental results show the coding method is robust under the varying environment.
Keywords :
image coding; mobile robots; object detection; object recognition; robot vision; statistical analysis; transforms; appearance-based topological localization framework; binary codes; encoding method; feature strength; hull census transform; mobile robot; scene change detection; scene change recognition; statistical analysis; topological map building; visual place recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems (IROS), 2010 IEEE/RSJ International Conference on
Conference_Location :
Taipei
ISSN :
2153-0858
Print_ISBN :
978-1-4244-6674-0
Type :
conf
DOI :
10.1109/IROS.2010.5652817
Filename :
5652817
Link To Document :
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