DocumentCode :
3147179
Title :
A novel rank order LoG filter for interest point detection
Author :
Miao, Zhenwei ; Jiang, Xudong
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
937
Lastpage :
940
Abstract :
This paper proposes a novel non-linear filter, named rank order LoG (ROLG) filter, and a new interest point detector, named ROLG detector. The ROLG filter is a weighted rank order filter. It is used to detect image structures whose significant majority of pixels are brighter (or darker) than the significant majority of pixels in their corresponding surroundings. The ROLG detector is built on this filter. Compared to linear filter based detectors, the proposed rank order filter based detector is more robust to abrupt variations of images. Experiments on the benchmark databases demonstrate that the ROLG detector achieves superior performance compared to four state-of-the-art detectors. Evaluation experiments are also conducted on face recognition. The results further demonstrate that the ROLG detector has better performance compared to other detectors.
Keywords :
face recognition; image sensors; nonlinear filters; signal detection; face recognition; image structure detection; interest point detection; linear filter based detector; nonlinear filter; weighted ROLG filter; weighted rank order LoG filter; Computer vision; Databases; Detectors; Face; Face recognition; Noise; Pattern analysis; Interest point detection; face recognition; image matching; repeatability; weighted rank order filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location :
Kyoto
ISSN :
1520-6149
Print_ISBN :
978-1-4673-0045-2
Electronic_ISBN :
1520-6149
Type :
conf
DOI :
10.1109/ICASSP.2012.6288039
Filename :
6288039
Link To Document :
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