Memory-based face recognition for visitor identification
- 7 November 2002
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
We show that a simple, memory-based technique for appearance-based face recognition, motivated by the real-world task of visitor identification, can outperform more sophisticated algorithms that use Principal Components Analysis (PCA) and neural networks. This technique is closely related to correlation templates; however, we show that the use of novel similarity measures greatly improves performance. We also show that augmenting the memory base with additional, synthetic face images results in further improvements in performance. Results of extensive empirical testing on two standard face recognition datasets are presented, and direct comparisons with published work show that our algorithm achieves comparable (or superior) results. Our system is incorporated into an automated visitor identification system that has been operating successfully in an outdoor environment since January 1999.Keywords
This publication has 16 references indexed in Scilit:
- Parameterisation of a stochastic model for human face identificationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The FERET evaluation methodology for face-recognition algorithmsPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002
- The FERET database and evaluation procedure for face-recognition algorithmsImage and Vision Computing, 1998
- Neural network-based face detectionIeee Transactions On Pattern Analysis and Machine Intelligence, 1998
- The FERET September 1996 database and evaluation procedurePublished by Springer Science and Business Media LLC ,1997
- Incorporating invariances in support vector learning machinesLecture Notes in Computer Science, 1996
- Using discriminant eigenfeatures for image retrievalIeee Transactions On Pattern Analysis and Machine Intelligence, 1996
- View-based and modular eigenspaces for face recognitionPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1994
- Eigenfaces for RecognitionJournal of Cognitive Neuroscience, 1991
- Robust StatisticsWiley Series in Probability and Statistics, 1981