USING 3D MODELS FOR IMPROVING FACE RECOGNITION
Journal Title: Journal of Information Technology and Application (JITA) - Year 2014, Vol 4, Issue 2
Abstract
Face recognition algorithm Principal Component Analysis (PCA) has a signifi cant performance drop when comparing photographs taken from different angle. In this paper a 3D model was used for improving that performance. Model enables us to transform the face image which is taken from certain angle to en face. Model has been tested against biometric database formed at the Faculty of Organizational Sciences. Image rotation based on the model was performed before matching with the en face images from the database. Study results show that algorithm precision on biometric verifi cation and identifi cation has been seriously improved.
Authors and Affiliations
Zoran Bikicki Ivan Milenković, Dušan Starčević
Keywords
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- EP ID EP244431
- DOI 10.7251/JIT1402055B
- Views 93
- Downloads 0
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