A vote of confidence based interest point detector

In this paper, a vote of confidence (VC) based detector is proposed to detect bright and dark regions from images. Whether a local region is bright or dark is voted by all the pixels in this region. Compared to the contrast based detectors, such as the popular SIFT detector, the VC detector is invar...

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Bibliographic Details
Published in2013 IEEE International Conference on Acoustics, Speech and Signal Processing pp. 1459 - 1463
Main Authors Zhenwei Miao, Xudong Jiang
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2013
Subjects
Abstracts
face recognition
image matching
Interest point detection
repeatability
vote of confidence
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Summary:In this paper, a vote of confidence (VC) based detector is proposed to detect bright and dark regions from images. Whether a local region is bright or dark is voted by all the pixels in this region. Compared to the contrast based detectors, such as the popular SIFT detector, the VC detector is invariant to illumination change and robust to abrupt variations. Experiments are conducted on benchmark databases to verify the superior performance of the VC detector in terms of the repeatability and matching score. The proposed detector is also evaluated in the application of face recognition.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2013.6637893