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Resource-Allocating Codebook for Patch-based Face Recognition

Record type: Conference or Workshop Item (Other)

In this paper we propose a novel approach to constructing a discriminant visual codebook in a simple and extremely fast way as a one-pass, that we call Resource-Allocating Codebook (RAC), inspired by the Resource Allocating Network (RAN) algorithms developed in the artificial neural networks literature. Unlike density preserving clustering, this approach retains data spread out more widely in the input space, thereby including rare low level features in the codebook. We show that the codebook constructed by the RAC technique outperforms the codebook constructed by K-means clustering in recognition performance and computation on two standard face databases, namely the AT&T and Yale faces, performed with SIFT features.

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Citation

Ramanan, Amirthalingam and Niranjan, Mahesan (2009) Resource-Allocating Codebook for Patch-based Face Recognition At Fourth International Conference on Industrial and Information Systems, Sri Lanka. , pp. 28-31.

More information

Published date: 28 December 2009
Venue - Dates: Fourth International Conference on Industrial and Information Systems, Sri Lanka, 2009-12-28
Keywords: Cluster analysis, Codebook, Face recognition, SIFT
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 271401
URI: http://eprints.soton.ac.uk/id/eprint/271401
PURE UUID: 49ed779d-5b75-49f6-b5e7-7eb93f2e2e19

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Date deposited: 14 Jul 2010 12:23
Last modified: 18 Jul 2017 06:43

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Contributors

Author: Amirthalingam Ramanan

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