Title :
A vote of confidence based interest point detector
Author :
Zhenwei Miao ; Xudong Jiang
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Univ., Singapore, Singapore
Abstract :
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.
Keywords :
face recognition; image matching; VC based detector; abrupt variations; benchmark databases; bright image regions; dark image regions; face recognition; illumination change; interest point detector; matching score; popular SIFT detector; repeatability score; vote of confidence; Abstracts; Databases; Interest point detection; face recognition; image matching; repeatability; vote of confidence;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location :
Vancouver, BC
DOI :
10.1109/ICASSP.2013.6637893