DocumentCode :
3669660
Title :
Photo rating of facial pictures based on image segmentation
Author :
Arnaud Lienhard;Marion Reinhard;Alice Caplier;Patricia Ladret
Author_Institution :
GIPSA-lab, Grenoble University, 11, rue des Mathematiques, France
Volume :
2
fYear :
2014
Firstpage :
329
Lastpage :
336
Abstract :
A single glance at a face is enough to infer a first impression about someone. With the increasing amount of pictures available, selecting the most suitable picture for a given use is a difficult task. This work focuses on the estimation of the image quality of facial portraits. Some image quality features are extracted such as blur, color representation, illumination and it is shown that concerning facial picture rating, it is better to estimate each feature on the different picture parts (background and foreground). The performance of the proposed image quality estimator is evaluated and compared with a subjective facial picture quality estimation experiment.
Keywords :
"Image segmentation","Face","Skin","Image color analysis","Feature extraction","Hair","Image quality"
Publisher :
ieee
Conference_Titel :
Computer Vision Theory and Applications (VISAPP), 2014 International Conference on
Type :
conf
Filename :
7294949
Link To Document :
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