Exploring Various Aspects of Gabor Filter in Classifying Facial Expression
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-3992-3_41
Reference35 articles.
1. Ahonen T, Hadid A, Pietikainen M (2006) Face description with local binary patterns: application to face recognition. IEEE Trans Pattern Anal Mach Intell 12:2037–2041
2. Buciu I, Pitas I et al (2003) ICA and Gabor representation for facial expression recognition. In: 2003 international conference on image processing, 2003. ICIP 2003. Proceedings, vol 2. IEEE, p II-855
3. Chengeta K, Viriri S (2018) Video sequencing based facial expression detection with 3d local binary pattern variants. In: 5th international conference on computer science, engineering and information technology
4. Dailey MN, Cottrell GW (1999) PCA = Gabor for expression recognition. UCSD CSE TR CS-629
5. Daugman JG (1988) Complete discrete 2-d Gabor transforms by neural networks for image analysis and compression. IEEE Trans Acoust Speech Signal Process 36(7):1169–1179
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