Pose Invariant Face Recognition Method Using Stereo Vision
Jacek Komorowski , Przemysław Rokita
AbstractThe 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.
|Publication size in sheets||0.5|
|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|
|Project||Development 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
|Publication indicators||= 0|
|Citation count*||2 (2019-12-30)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.