Baseline evaluations on the CAS-PEAL-R1 face database

Authors:
Bo Cao;Shiguang Shan;Xiaohua Zhang;Wen Gao
Affiliations:
ICT-ISVISION Joint Research & Development Laboratory for Face Recognition, Chinese Academy of Sciences, Beijing, China;ICT-ISVISION Joint Research & Development Laboratory for Face Recognition, Chinese Academy of Sciences, Beijing, China;ICT-ISVISION Joint Research & Development Laboratory for Face Recognition, Chinese Academy of Sciences, Beijing, China;ICT-ISVISION Joint Research & Development Laboratory for Face Recognition, Chinese Academy of Sciences, Beijing, China
Venue:
SINOBIOMETRICS'04 Proceedings of the 5th Chinese conference on Advances in Biometric Person Authentication
Year:
2004

Citing 6
Cited 4

Eigenfaces vs. Fisherfaces: Recognition Using Class Specific Linear Projection

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching

IEEE Transactions on Pattern Analysis and Machine Intelligence
The FERET Evaluation Methodology for Face-Recognition Algorithms

IEEE Transactions on Pattern Analysis and Machine Intelligence
PCA versus LDA

IEEE Transactions on Pattern Analysis and Machine Intelligence
Illumination Normalization for Robust Face Recognition Against Varying Lighting Conditions

AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Gabor feature based classification using the enhanced fisher linear discriminant model for face recognition

IEEE Transactions on Image Processing

A class density approximation neural network for improving the generalization of Fisherface

Neurocomputing
Improving the generalization of fisherface by training class selection using SOM2

ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
Technology evaluations on the TH-FACE recognition system

ICB'06 Proceedings of the 2006 international conference on Advances in Biometrics
Using score normalization to solve the score variation problem in face authentication

IWBRS'05 Proceedings of the 2005 international conference on Advances in Biometric Person Authentication

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, three baseline face recognition algorithms are evaluated on the CAS-PEAL-R1 face database which is publicly released from a large-scale Chinese face database: CAS-PEAL The main objectives of the baseline evaluations are to 1) elementarily assess the difficulty of the database for face recognition algorithms, 2) provide an example evaluation protocol on the database, and 3) identify the strengths and weakness of some popular algorithms Particular description of the datasets used in the evaluations and the underlying philosophy are given The three baseline algorithms evaluated are Principle Components Analysis (PCA), a combined Principle Component Analysis and Linear Discriminant Analysis (PCA+LDA), and PCA+LDA algorithm based on Gabor features (G PCA+LDA) Four face image preprocessing methods are also tested to emphasize the influences of the preprocessing methods on the performances of face recognition algorithms.