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
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