Why recognition in a statistics-based face recognition system should be based on the pure face portion: a probabilistic decision-based proof
- 1 January 2001
- journal article
- Published by Elsevier in Pattern Recognition
- Vol. 34 (7) , 1393-1403
- https://doi.org/10.1016/s0031-3203(00)00078-9
Abstract
No abstract availableThis publication has 24 references indexed in Scilit:
- Discriminant analysis of principal components for face recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Probabilistic visual learning for object detectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- Facial feature detection using geometrical face model: An efficient approachPattern Recognition, 1998
- Probabilistic visual learning for object representationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- Eigenfaces vs. Fisherfaces: recognition using class specific linear projectionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1997
- A hierarchical neural network for human face detectionPattern Recognition, 1996
- Human and machine recognition of faces: a surveyProceedings of the IEEE, 1995
- Connectionist models of face processing: A surveyPattern Recognition, 1994
- Human face detection in a complex backgroundPattern Recognition, 1994
- Automatic recognition and analysis of human faces and facial expressions: a surveyPattern Recognition, 1992