Pose Invariant Face Recognition Method Using Stereo Vision

Jacek Komorowski , Przemysław Rokita


The paper presents a method to decrease dependency of image-based (appearance-based) face recognition solutions, such as Eigenfaces method, on a head orientation. Using information of a human head shape, recovered by stereo vision technique, a normalized face image (en face view) is synthesized. The normalized image is then processed by an image-based recognition subsystem. To effectively deal with large head rotations, where large area of the face is invisible due to occlusion, Eigenfaces recognition method is extended to operate on half-face images. Presented technique is verified experimentally to prove that it can be used to increase performance of image-based face recognition methods in applications where head pose of the subject is not controlled.
Author Jacek Komorowski (FEIT / ICS) - [Faculty of Mathematics, Physics and Computer Science (MFI) [Maria Curie-Sklodowska University in Lublin (UMCS)]]
Jacek Komorowski,,
- The Institute of Computer Science
- Wydział Matematyki, Fizyki i Informatyki
, Przemysław Rokita (FEIT / IN)
Przemysław Rokita,,
- The Institute of Computer Science
Publication size in sheets0.5
Book Burduk Robert, Kurzyński Marek, Woźniak Michał, Żołnierek Andrzej (eds.): Computer Recognition Systems 4, Advances in Intelligent and Soft Computing , vol. 95, 2011, Springer, ISBN 978-3-642-20319-0, [978-3-642-20320-6], 780 p., DOI:10.1007/978-3-642-20320-6
ProjectDevelopment of new methods and algorithms in the following areas: computer graphics, artificial intelligence, and information systems; and distributed systems. Project leader: Rybiński Henryk, , Phone: +48 22 234 7731, start date 24-06-2010, planned end date 31-12-2010, end date 30-11-2011, II/2010/DS/1, Completed
WEiTI Działalność statutowa
Languageen angielski
kom-rokita.pdf 158.03 KB
Score (nominal)4
Publication indicators WoS Citations = 0
Citation count*2 (2019-12-30)
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