Automatic facial expression analysis has received great attention in different applications over the last two decades. Facial Action Coding System (FACS), which describes all possible facial expressions based on a set of facial muscle movements called Action Unit (AU), has been used extensively to model and analyze facial expressions. FACS describes methods for coding the intensity of AUs, and ...

Recent psychological studies have strongly suggested that humans share common visual preferences for facial attractiveness. Here we present a learning model that automatically extracts measurements of facial features from raw images and obtains human level performance in predicting facial attractiveness ratings. The machine's ratings are highly correlated with mean human ratings, markedly impro...

Facial expressions can be considered as a means of communication by non-verbal signals. They are essential part of human relations. Automatic facial expressions recognition can be imperative for natural human-machine interaction. Automatic facial expressions recognition can be utilized in the field of behavioral science and in the health care department. Although humans perceive the facial expr...

Face expression recognition is useful for designing new interactive devices offering the possibility of new ways for human to interact with computer systems. In this paper we develop a facial expressions analysis and synthesis system. The analysis part of the system is based on the facial features extracted from facial feature points (FFP) in frontal image sequences. Selected facial feature poi...

An Intelligent Biometrics systems aims at localizing and detecting human faces from supplied images so that further recognition of persons and their facial expression recognition will be easy. Based on facial expression; one can predict about intension of person Method includes supplying a face image as an input and facial features like eyebrow, eyes, nose, and mouth are given as output after d...

Face recognition/detection presents a challenging problem in the field of image analysis and computer vision, and it is becoming more popular day by day because of its applications in various domain areas. Face annotation is one of the ways for recognizing face images. Auto face annotation is playing important role in many real-world applications. Face annotation task is part of face detection ...

This paper presents an effective object segmentation method for object-oriented coding. The process is composed of facial region detection using skin color and changed region detection using motion information. The image is then segmented between moving objects and background using motion estimation. The facial regions are detected using skin color, the data for which is obtained from the u, v ...

The present paper proposes a novel approach for facial expression identification based on the statistical features extracted from the 4-bit co-occurrence matrix. In the present, first color image is converted into grey level image using 7-bit quantization technique. To reduce the complexity of the Grey Level Co-occurrence matrix the present paper generates the co-occurrence matrix on 4 bit grey...

BACKGROUND Facial expressions are important in facilitating human communication and interactions. Also, they are used as an important tool in behavioural studies and in medical rehabilitation. Facial image based mood detection techniques may provide a fast and practical approach for non-invasive mood detection. The purpose of the present study was to develop an intelligent system for facial ima...

Face recognition is a challenging task, especially when low-resolution images or image sequences are used. A decrease in image resolution results in a loss of facial high frequency components leading to a decrease in recognition rates. In this paper, we propose a new method for super-resolution by building a dictionary of high-frequency components in the facial data, which are added to a low-re...