DocumentCode :
1795954
Title :
Evaluation of Edge Orientation Histograms in smile detection
Author :
Timotius, Ivanna K. ; Setyawan, Iwan
Author_Institution :
Dept. of Electron. Eng., Satya Wacana Christian Univ., Salatiga, Indonesia
fYear :
2014
fDate :
7-8 Oct. 2014
Firstpage :
1
Lastpage :
5
Abstract :
Smile detection received a enormous attention due to its famous application as a `smile shutter´ in digital cameras. Edge Orientation Histograms (EOH) is one of the possible feature descriptors in a smile detector. This paper presents an evaluation of the use of Edge Orientation Histograms in a lip image based smile detector. The system built in this paper aims to discriminate lip images depicting a smile (including thin smile and broad smile) from lip images depicting non-smiling expressions. By dividing the lip images into 2 × 4 cells, and using 5° histogram bin size, we achieved 87.8% arithmetic means of accuracies. The experiments show that it is recommended not to use spatial binning that is too small. However, it is recommended to use fine orientation binning. Finally, it is recommended to use all orientation bins as features.
Keywords :
digital photography; edge detection; emotion recognition; EOH; digital cameras; edge orientation histograms; feature descriptors; smile detection; Accuracy; Detectors; Face; Feature extraction; Histograms; Image edge detection; Pattern analysis; edge orientation histograms; estimated arithmetic means of accuracies; smile detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Electrical Engineering (ICITEE), 2014 6th International Conference on
Conference_Location :
Yogyakarta
Print_ISBN :
978-1-4799-5302-8
Type :
conf
DOI :
10.1109/ICITEED.2014.7007905
Filename :
7007905
Link To Document :
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