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A part-based approach for spontaneous expression recognition using audio-visual feature and deep convolution neural network (DCNN) is proposed. The ability of convolution neural network to handle variations in translation and scale is exploited for extracting visual features. The sub-regions, namely, eye and mouth parts extracted from the video faces are given as an input to the deep CNN (DCNN) inorder...
This paper presents a face recognition system developed in Android for robust mobile phone face unlock verification of several users. For the classification task standard neural networks structures in Java are used as a classifier by implementing the classical Feed-forward Neural Network (NN) with back propagation algorithm.
Emotion recognition systems have an important role to play in the human-computer interactive applications (HCI). These systems are using facial features of face images and they are verifying or identifying the emotions. In this study, emotion identification algorithms are improved by using just mouth region features of a face. Region of interest (mouth region) is detected by Viola-Jones algorithms...
Automatic facial expression analysis is one of the most active research areas these days, as it has got various applications in human computer interaction systems. In order to analyse these expressions we need a system that takes up an image that contains a face and extract the features from it and classify it into one of the prototypes expressions. In this paper, a framework is designed that recognizes...
Facial expression recognition is an active area of research with applications in the design of Human Computer Interaction (HCI) systems. In this paper, we propose an approach for facial expression recognition using deep convolutional neural networks (CNN) based on features generated from depth information only. The Gradient direction information of depth data is used to represent facial information,...
The ability to recognize emotions in natural human communications is known to be very important for mankind. In recent years, a considerable number of researchers have investigated techniques allowing computer to replicate this capability by analyzing both prosodic (voice) and facial expressions. The applications of the resulting systems are manifold and range from gaming to indexing and retrieval,...
In this paper we present a biometric system of face detection and recognition in color images. The face detection technique is based on skin color information. A new algorithm is proposed in order to detect automatically face features (eyes, mouth and nose) and extract their correspondent geometrical points. These fiducial points are described by sets of wavelet components called "jets"...
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