DocumentCode :
3752146
Title :
Multifarious distances, cameras and illuminations face database
Author :
Shilian Yu;Zuodong Yang;Yichuan Wang;Weifeng Li;Qingmin Liao
Author_Institution :
Department of Electronic Engineering/Graduate School at Shenzhen, Tsinghua University, China
fYear :
2015
Firstpage :
873
Lastpage :
876
Abstract :
Face recognition at a distance is still a challenging problem due to the low resolution face images resulting from the remote distance. To motivate researches on the problem and make up for the shortage of existing databases, we introduce MDCI database in this paper. The database contains 677 videos and 9734 pictures from 155 subjects captured by five different cameras, at four kinds of distances (1m, 3m, 5m, 7m), under two illuminations. Based on the evaluation protocol proposed in the paper, we tested baseline LBP and PCA algorithms on the database. Interested researchers can use the test results as a control performance when testing their own algorithms.
Keywords :
"Databases","Cameras","Face","Lighting","Videos","Principal component analysis","Three-dimensional displays"
Publisher :
ieee
Conference_Titel :
Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2015 Asia-Pacific
Type :
conf
DOI :
10.1109/APSIPA.2015.7415395
Filename :
7415395
Link To Document :
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