DocumentCode
1657462
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
fYear
2013
Firstpage
1459
Lastpage
1463
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
Conference_Location
Vancouver, BC
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2013.6637893
Filename
6637893
Link To Document