APPLYING VIGOR AND PARTICLE SKIN ON THREE DIMENSIONAL PERSON VISAGE TERMINOLOGY

The system is designed to determine the visage expressions such as vigor and grain skin and to apply feature extraction methods for feeling recognition. All the three dimensional input images are converted into vigor and grain images to represent in two dimensional image like structure that helps to easily perform manipulation on the images. The texture features helps to retrieve the color components from a texture coordinates such as RGB components and that helps to generate the texture images for a three dimensional image. In the texture images, the facial regions are identified through Viola Jones technique. The dif erent region of interest is eye, nose and mouth. The coarse region of interest is extracted to reduce the time complexity for finding the entire region of interest as well as the false detection rate, and they are called as salient facial patches and they are located based on the position of facial landmarks. The active facial patches are positioned below the eyes, in between eye brows, around the nose and mouth corners. Feature extraction is done by Local Binary Pattern (LBP) algorithm. Principal Component Analysis (PCA) is a feature selection technique which is used to select the relevant features from the vigor and range images and then they are classified by Multi class Support Vector Machine (SVM) algorithm