Treffer: Pose estimation and frontal face detection for face recognition

Title:
Pose estimation and frontal face detection for face recognition
Source:
Visual information processing XIV (29-30 March 2005, Orlando, Florida, USA)Proceedings of SPIE, the International Society for Optical Engineering. :97-105
Publisher Information:
Bellingham Wash: SPIE, 2005.
Publication Year:
2005
Physical Description:
print, 22 ref 1
Original Material:
INIST-CNRS
Document Type:
Konferenz Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Institute for Infocomm Research, 21, Heng Mui Keng Terrace, Singapore 119613, Singapore
ISSN:
0277-786X
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Telecommunications and information theory
Accession Number:
edscal.17809941
Database:
PASCAL Archive

Weitere Informationen

This paper proposes a pose estimation and frontal face detection algorithm for face recognition. Considering it's application in a real-world environment, the algorithm has to be robust yet computationally efficient. The main contribution of this paper is the efficient face localization, scale and pose estimation using color models. Simulation results showed very low computational load when compare to other face detection algorithm. The second contribution is the introduction of low dimensional statistical face geometrical model. Compared to other statistical face model the proposed method models the face geometry efficiently. The algorithm is demonstrated on a real-time system. The simulation results indicate that the proposed algorithm is computationally efficient.