Resource-Allocating Codebook for Patch-based Face Recognition


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.

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Description/Abstract

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.

Item Type: Conference or Workshop Item (Other)
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
ePrint ID: 271401
Date :
Date Event
28 December 2009Published
Date Deposited: 14 Jul 2010 12:23
Last Modified: 17 Apr 2017 18:15
Further Information:Google Scholar
URI: http://eprints.soton.ac.uk/id/eprint/271401

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