抽象的な

Conversion of 2D Image into 3D and Face Recognition Based Attendance System

Warsha Kandlikar, Toradmal Savita Laxman, Deshmukh Sonali Jagannath

The world is being 3d and the 3d imaging having more advantages over 2d,presently there are attendance system based on fingerprint recognition but that are having some advantages like the surface should be dust free and also we have the contact with the sensor so that finger should have to keep properly. There are also 2D face recognition based attendance system. To overcome the problems in 2d i.e. Lighting variations, Expression variations, variations 3D face recognition is used. We propose a system that takes the attendance of the student using Conversion of 2d images into 3d And then face face detection and recognition . We are using two 2d images taken from two different camera and that is converted into 3d image using binocular disparity technique. After this image is use for the face recognition. Threedimensional face recognition (3D face recognition) is a modality of facial recognition methods in which the threedimensional geometry of the human face is used. It can also identify a face from a range of viewing angles, including a profile view. Three-dimensional data points from a face vastly improve the precision of facial recognition.