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In this study, we present a new approach to the face retrieval and face classification problem, which exploits available expert's knowledge and introduces a novel way of describing facial features. These features are described by manually assigned weights corresponding to membership grades with respect to the linguistic descriptors such as short, medium, or long. In the series of experiments, we also...
Face recognition under pose variations is one of the challenges of automatic face recognition, as intra variation caused by pose difference sometimes is larger than that caused by identity difference. However, facial feature changes with pose can be regarded as a continuous process, meaning that a person's face image changes from one pose to another pose gradually. A feature progressing model can...
This paper deals with the emotion recognition in static images. Facial feature extraction plays a very important role in recognizing a particular emotion in humans. In this paper, the facial expressions in humans .i.e., happy, anger, sad, neutral and disgust, are recognized with the help Support Vector Machine classifier. First, a static image is taken. Then, skin region is extracted from that image...
In the psychology, there are four fundamental personality types of human: sanguine, choleric, melancholic, and phlegmatic. One way to know the human fundamental personality is based on test, and one kind of test is Grapho test (handwriting test). In this study has been conducted detection of the human fundamental personality using combination of some face features: the eyes, lips, and nose (without...
In this paper, we propose a learning-based system for generating exaggerative caricatures with expression. Most of the previous works can only deal with frontal face images with neutral expression without glasses or hats, and are unable to apply more than one drawing prototype which was learned from the caricatures drawn by one single cartoonist at a time. The proposed caricature generation system...
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