Chapter 1: Invited Addresses and Tutorials on Signals, Coding,
  Systems and Intelligent Techniques

Title: Generalization Abilities of Appearance-Based Subspace Face Recognition Algorithms

Author(s): Kresimir Delac, Mislav Grgic, Sonja Grgic

Address: Department of Wireless Communications, Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia | Department of Wireless Communications, Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia | Department of Wireless Communications, Faculty of Electrical Engineering and Computing, University of Zagreb, Croatia

Reference: 12th International Workshop on Systems, Signals and Image Processing pp. 273 - 276

Abstract/Summary: In this paper we present an efficient method to test the generalization abilities of subspace face recognition algorithms. The main motivation for this work is the lack of detailed analysis of this problem in current literature. Generalization ability of face recognition algorithm is the ability to recognize new individuals, which were not part of the training process. To illustrate our idea we used well-known recognition algorithms (PCA, ICA and LDA) and the FERET date set. Our results show that even these well-known algorithms have poor generalization abilities in some implementations.

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