Facial expression recognition using facial characteristic points and Gini index
Abstract
In this paper, Facial Expression Recognition (FER) system, aid in modeling facial expression space for facial expression recognition by facial characteristic points and Gini index. Facial expression information are mostly concentrated on facial expression information regions, so the, eyes, eyebrows, and mouth are extracted from the input image. When a face image is input the feature extraction is performed which help in detecting facial characteristic points. Facial animation parameters are calculated in order to recognize one of the six basic facial expressions. The proposed technique is applied to JAFFE database consisting 30 images, each having six basic facial expression images (neutral, happy, surprise, fear, sad and angry). For certain expressions like, surprise, fear and happy it gives the promising results with best recognition rate, however for expressions like, neutral, sad and angry the recognition rate is lower. The proposed technique is implemented in MATLAB version 7.8.0.347 (R2009a).
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Previous FER methods treat the texture or landmark modality independently, using only one modality for FER.
“Mostly, all previous work treats the texture or landmark modality independently, where only the texture or landmark modality is employed for FER.”
From Multimodal learning for facial expression recognition (2015) · cites this paper as [25]
Cites
Automatic analysis of facial expressions: the state of the art
Pantie, M., & Rothkrantz, L. J. M. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.895976 · Cited by 1,778 · see citing works
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Multimodal learning for facial expression recognition
Zhang, W., Zhang, Y., Ma, L., Guan, J., & Gong, S. (2015) · Pattern Recognition · doi:10.1016/j.patcog.2015.04.012 · Cited by 100 · see citing works
- Authors
- Perveen, N., Gupta, S., & Verma, K.
- Affiliations
- National Institute of Technology Raipur (IN)
- Venue
- 2012 Students Conference on Engineering and Systems
- Publisher
- IEEE
- Published
- 2012-03
- Pages
- 1-6
- OpenAlex
- W1993868489
- Cited by
- 30
- References
- 1
- Citations by year
- 2024: 2 · 2023: 1 · 2022: 2 · 2021: 1 · 2020: 3 · 2018: 2 · 2017: 5 · 2016: 8 · 2015: 2 · 2014: 3 · 2013: 1
- FWCI
- 3.71
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- Students Conference on Engineering and Systems (publishedVersion)
- Topics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Emotion and Mood Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face and Expression Recognition
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Face recognition and analysis
- Keywords
- facial expression recognition, Gini coefficient, facial animation parameters, facial feature extraction, JAFFE database, basic emotions
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