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Bioinformatics Engineering Program

Uppsala University School of Engineering

UPTEC X 08 035 Date of issue 2008-09

Author

Martin Norling

Title (English)

Improving face recognition using textual annotation

Title (Swedish)

Abstract

In this thesis project I have designed an application combining a traditional search engine and one of the most well known face recognition algorithms to date. The purpose of this design is to attempt to improve search relevancy for queries related to celebrities and other well known persons. The application includes both face detection and face recognition. The classical eigenfaces algorithm is used in the face recognition. This algorithm turns out to perform quite badly as the algorithm requires faces to be aligned to its references which is often not the case with arbitrary images of the internet.

Keywords

Face Recognition, Face Detection, Eigenfaces, Search Engine.

Supervisors

Pablo Belin

PicSearch AB Scientific reviewer

Ewert Bengtsson

Centre for Image Analysis, Uppsala University

Project name Sponsors

Language

English Security

ISSN 1401-2138 Classification

Supplementary bibliographical information

Pages

31

Biology Education Centre Biomedical Center Husargatan 3 Uppsala

Box 592 S-75124 Uppsala Tel +46 (0)18 4710000 Fax +46 (0)18 555217

References

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