A vote of confidence based interest point detector
Zhenwei Miao, Xudong Jiang · 2013
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.