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Facial Expression Recognition Based on Salient Regions
- Source :
- 2018 4th International Conference on Green Technology and Sustainable Development (GTSD).
- Publication Year :
- 2018
- Publisher :
- IEEE, 2018.
-
Abstract
- Facial expression recognition has been applied in many fields such as human computer interaction, patient monitoring, neurology, social robot… Although facial expression recognition has gained some encourage results, there are still many challenges such as the change of illumination, blur, etc. Especially, recognizing between sadness and anger expression raises more barriers. In this paper, we proposed a framework using only salient facial regions, but it would be able to improve the accuracy of facial expression recognition. In this framework, one of the most state-of-the-art descriptor, called Pyramid of Local Phase Quantization descriptor (PLPQ) was used to robust with respect to image blur. The experiment achieved 97.7% accuracy recognition rate on the extend Cohn-Canade (CK+) database, and outperformed than other state-of-the-art facial expression recognition methods.
- Subjects :
- Social robot
Computer science
business.industry
media_common.quotation_subject
Feature extraction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Pattern recognition
02 engineering and technology
01 natural sciences
Facial recognition system
Support vector machine
Sadness
ComputingMethodologies_PATTERNRECOGNITION
Kernel (image processing)
Facial expression recognition
Salient
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Artificial intelligence
010306 general physics
business
media_common
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2018 4th International Conference on Green Technology and Sustainable Development (GTSD)
- Accession number :
- edsair.doi...........bfaa64f577a49354651c9a33ea42d4b4