OBJECTIVE Developing an instrument to evaluate the performance of primary health care in the leprosy control actions, from the perspective of users and do the face and content validation. METHOD This is a methodological study carried out in four stages: development of instrument, face and content validation, pre-test, and analysis of test-retest reliability. RESULTS The initial instrument s...

A robust automatic micro-expression recognition system would have broad applications in national safety, police interrogation, and clinical diagnosis. Developing such a system requires high quality databases with sufficient training samples which are currently not available. We reviewed the previously developed micro-expression databases and built an improved one (CASME II), with higher tempora...

The Chinese Facial Emotion Recognition Database (CFERD), a computer-generated three-dimensional (3D) paradigm, was developed to measure the recognition of facial emotional expressions at different intensities. The stimuli consisted of 3D colour photographic images of six basic facial emotional expressions (happiness, sadness, disgust, fear, anger and surprise) and neutral faces of the Chinese. ...

A new, fast method for verifying human faces using geometric invariants is proposed. The proposed method takes advantage of the properties of geometric invariants to deal with background changes and solve illumination, translation, scaling, and rotating problems. The method includes locating and segmenting the facial image, extracting the facial features, and implementing recognition processes....

Facial expressions are important cues to observe human emotions. The thesis studies the involuntary type of facial expressions called micro-expressions. Micro-expressions are quick facial motions, appearing in high stake and stressful situations, typically when a subject tries to hide his or her emotions. Two attributes are present fast duration and low intensity. A simple detection method is p...

In this paper, we proposed a new fast technique of face authentication based on extraction of a simple Statistical features derived from the image of face. Once the feature vector is extracted, we comparing it with the feature vector of face which is authenticated, and we calculated the error rates in the two sets of validation and test for the data base XM2VTS

In this paper algorithm to detects human facial features like the mouth, nose and eyes in a full frontal face image is proposed. The new algorithm is proposed in order to detect automatically face features (eyes, mouth and nose) and extract their corresponding geometrical point. This project presents and implements a facial feature point extraction and recognition method of facial expression an...

Face detection is the technique to locate various faces in an image, so that the face region will be extracted from the background. Face detection is considered as the backbone of topics like face recognition, face tracking, expression recognition etc. as if faces could be located exactly in any scene; recognition process would not be too much difficult. Recognition is mainly used for the purpo...