DocumentCode :
3682606
Title :
Face filtering — Insights from real-world data
Author :
Yohannes Biadgligne;Ognjen Arandjelović
Author_Institution :
Bahirdar Institute of Technology, Bahir Dar, Ethiopia
fYear :
2015
Firstpage :
65
Lastpage :
68
Abstract :
Digital image processing filters continue to be used widely for the normalization of illumination effects in face recognition, both in research and in practice. Their appeal stems from their simplicity, efficiency, predictable and well-understood behaviour, and importantly, lack of catastrophic failure modes. Notwithstanding this widespread use, no work to date has performed a comparative analysis of different filters in challenging, realistic conditions expected in practice - filters in previous work are either adopted in isolation or evaluated in constrained conditions unrepresentative of real-world challenges. In this paper we perform, report, and discuss a comparative evaluation of a number of popular filters on a challenging, real-world data set which contains major changes in illumination, pose (yaw and pitch), camera-user distance, image resolution, and (often neglected) camera type. Our results demonstrate that relative performances of different filters in realistic imaging conditions such as those examined in this paper are vastly different than when the same filters are evaluated in a controlled setting as in previous work. Therefore our results provide important insight for practical application of image filters and future research.
Keywords :
"Lighting","Face recognition","Cameras","Face","Histograms","Context","Discrete cosine transforms"
Publisher :
ieee
Conference_Titel :
Systems, Signals and Image Processing (IWSSIP), 2015 International Conference on
ISSN :
2157-8672
Electronic_ISBN :
2157-8702
Type :
conf
DOI :
10.1109/IWSSIP.2015.7314178
Filename :
7314178
Link To Document :
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