Shape and Texture Aware Facial Expression Recognition Using Spatial Pyramid Zernike Moments and Law's Textures Feature Set

Facial expression recognition (FER) requires better descriptors to represent the face patterns as the facial region changes due to the movement of the face muscles during an expression. In this paper, a method of concatenating spatial pyramid Zernike moments based shape features and Law's textu...

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Veröffentlicht in:	IEEE access 2021, Vol.9, p.52509-52522
Hauptverfasser:	Mahesh, Vijayalakshmi G. V., Chen, Chengji, Rajangam, Vijayarajan, Raj, Alex Noel Joseph, Krishnan, Palani Thanaraj
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Datasets emotions Face recognition Facial expressions Feature extraction Feature recognition Law’s texture features Multilayer perceptrons Muscles neural network classifier Radial basis function Shape Skin Texture recognition Training Transforms Zernike moments
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