Nose Tip Detection Using Gradient Weighting Filter Smoothing

1 Student, Computer Engg. Dept.,Vidyalankar Institute of Technology, University of Mumbai. 2 Associate Professor, Computer Engg. Dept.,Vidyalankar Institute of Technology, University of Mumbai. ___________________________________________________________________________ Abstract:In the area of face recognition systems, features especially nose tip has less significant attention for smoothing. This proposed model is based on the process of smoothing of 3D face images with feature detection like nose tip. Our proposed method uses Gradient Weighting Filter technique for smoothing with particular points’ neighborhood surrounding in 3D face and replaces that with the weighted value of surrounding points in 3D face images. We will use the gradient weighting algorithm for detecting the nose tip and this method will correctly detect the nose tip in any position along with X, Y and Z axes. All the experiments will be performed on GAVAB, a 3D face database.