@MASTERSTHESIS\{IMM2005-04014,
    author       = "J. Fagertun",
    title        = "Face Recognition",
    year         = "2005",
    keywords     = "Face Recognition, Face Detection, Lausanne Protocol, {3D} Face Reconstruction, Principal Component Analysis, Fisher Linear Discriminant Analysis",
    school       = "Informatics and Mathematical Modelling, Technical University of Denmark, {DTU}",
    address      = "Richard Petersens Plads, Building 321, {DK-}2800 Kgs. Lyngby",
    type         = "",
    note         = "Supervised by Assoc. Prof. Bjarne Ersb{\o}ll",
    url          = "http://www2.compute.dtu.dk/pubdb/pubs/4014-full.html",
    abstract     = "This thesis presents a comprehensive overview of the problem of facial recognition. A survey of available facial detection algorithms as well as implementation and tests of different feature extraction and dimensionality reduction methods and light normalization methods are presented.

A new feature extraction and identity matching algorithm, the Multiple Individual Discriminative Models (MIDM) algorithm, is proposed.

{MIDM} is in collaboration with {AAM-API,} a C++ open source implementation of Active Appearance Models (AAM), implemented into the “FaceRec” Delphi 7 application, a real time automatic facial recognition system. {AAM} is used for face detection and {MIDM} for face recognition.

Extensive testing of the {MIDM} algorithm is presented and its performance evaluated by the Lausanne protocol. The Lausanne protocol is a precise and widely accepted protocol for the testing of facial recognition algorithms. These test evaluations showed that the {MIDM} algorithm is superior to all other algorithms reported by the Lausanne protocol.

Finally, this thesis presents a description of {3D} facial reconstruction from a single {2D} image. This is done by using prior knowledge in form of a statistical shape model of faces in {3D}."
}