An algorithm to automatically detect facial features from color images has been developed. First, face region is located using skin-color information. Then, the iris candidates are extracted from the intensity valleys created from the detected face. Next, the costs for each pair of iris candidates are computed to determine the real pair of irises. Mouth region and corners are detected using col...

Evolving technology has enabled large-scale collaboration for neuroimaging data. For high resolution structural neuroimages, these data are inherently identifiable and must be given the same privacy considerations as facial photographs. To preserve privacy, identifiable metadata should be removed or replaced, and the voxel data de-identified to remove facial features by applying skull stripping...

Mouth and eye plays very virtual role in the analysis of human mood. The proposed method focus on segmentation of these potential features. In this paper, an approach to the problem of facial feature detection based on human face configuration is presented . To recognize facial features from given image. Applying appropriate threshold value to find Facial feature such as eye, and mouth are extr...

This paper examines the problem of facial expression analysis in an evaluation-adaptation framework. In this paper, we are proposing a new approach, where the basic method is combined with a (postprocessing) evaluation subsystem, which evaluates the obtained features and defines facial features that are to be refined. Anatomical constraints related to both 2-D and 3-D facial models are used for...

This paper presents combined face detection and gender classification method of discriminating between faces of men and women. This is done by detecting the human face area in image given and detecting facial features based on the measurements in pixels. The proposed algorithm converts the RGB image into the YCbCr color space to detect the skin regions from the facial image. But in order to det...

How efficiently do we combine information across facial features when recognizing a face? Previous studies have suggested that the perception of a face is not simply the result of an independent analysis of individual facial features, but instead involves a coding of the relationships amongst features. This additional coding of the relationships amongst features is thought to enhance our abilit...

With man One of the most critical tasks in automated face recognition technology is the extraction of facial features from a facial images. The most critical task in each face recognition (FR) technology, which contributes the most to the success of particular FR products in particular applications and which is highly protected by industries developing those products, is the extraction of facia...

We describe a method for tracking a person’s face through an image sequence and estimating the 3-D facial pose within each frame. It is based on an affine approximation to the motion of projected facial features such as eyes, mouth and nose. Tracking stability is maintained by enforcing the affine relationship amongst the motion of the features using linear regression and a Kalman filter. Facia...

Two patients are described with clinical and neuroimaging features consistent with a diagnosis of multiple system atrophy (MSA). The patients are unusual in that facial myokymia became apparent clinically at some stage in their illness. In each patient, the nature and severity of the involuntary facial movements evolved over the course of the illness. Electrophysiologically the movement pattern...

In this paper a new technique Directional 2DPCA is used for facial recognition. Facial image firstly rotated in different angle, the directional 2DPCA that can extract features from the matrixes in any direction. In 2DPCA given the information in each row, but it cannot be uncovered the structural information. Facial features can be extracted applying any angel. Features were extracted from ori...