I am doing my final year project in 3d face recognition.I am new to matlab so can anyone help me with the basics related to this project?


Thanking you,
Priya.M.V.

you can refer these page details of "3d face recognition" bellow
The performance of face recognition systems that use two-dimensional (2D) images is dependent on consistent conditions such as lighting, pose and facial expression. A multi-view face recognition system is being developed, which utilizes three-dimensional (3D) information about the face, along with the facial texture, to make the system more robust to those variations. A procedure is presented for constructing a database of 3D face models and matching this database to 2.5D face scans which are captured from different views. 2.5D is a simplified 3D (x, y, z) surface representation that contains at most one depth value (z direction) for every point in the (x, y) plane. A robust similarity metric is defined for matching. To address the non-rigid facial movement, such as expressions, we present a facial surface modeling and matching scheme to match 2.5D test scans in the presence of both non-rigid deformations and large pose changes (multiview) to a neutral expression 3D face model. A geodesic-based resampling approach is applied to extract landmarks for modeling facial surface deformations. We are able to synthesize the deformation learned from a small group of subjects (control group) onto a 3D neutral model (not in the control group), resulting in a deformed template. A personspecific (3D) deformable model is built for each subject in the gallery w.r.t. the control group by combining the templates with synthesized deformations. By fitting this generative deformable model to a test scan, the proposed approach is able to handle expressions and large pose changes simultaneously


read more
http://biometrics.cse.msu.edu/Publicatio...WACV05.pdf
http://biometrics.cse.msu.edu/Publicatio...WACV05.pdf