A novel rank order LoG filter for interest point detection

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 sig...

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Bibliographic Details
Published in2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) pp. 937 - 940
Main Authors Zhenwei Miao, Xudong Jiang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.03.2012
Subjects
Computer vision
Detectors
Face
Face recognition
image matching
Interest point detection
Noise
Pattern analysis
repeatability
weighted rank order filter
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Summary: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.
ISBN:1467300454
9781467300452
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2012.6288039