Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/106237
Title: Local relation map : a novel illumination invariant face recognition approach
Authors: Lian, Zhichao
Er, Meng Joo
Keywords: DRNTU::Engineering::Systems engineering
Issue Date: 2012
Source: Lian, Z., & Er, M. J. (2012). Local relation map : a novel illumination invariant face recognition approach. International journal of advanced robotic systems, 9, 128-.
Series/Report no.: International journal of advanced robotic systems
Abstract: In this paper, a novel illumination invariant face recognition approach is proposed. Different from most existing methods, an additive term as noise is considered in the face model under varying illuminations in addition to a multiplicative illumination term. High frequency coefficients of Discrete Cosine Transform (DCT) are discarded to eliminate the effect caused by noise. Based on the local characteristics of the human face, a simple but effective illumination invariant feature local relation map is proposed. Experimental results on the Yale B, Extended Yale B and CMU PIE demonstrate the outperformance and lower computational burden of the proposed method compared to other existing methods. The results also demonstrate the validity of the proposed face model and the assumption on noise.
URI: https://hdl.handle.net/10356/106237
http://hdl.handle.net/10220/23968
ISSN: 1729-8806
DOI: 10.5772/51667
Rights: © 2012 Zhichao et al.; licensee InTech. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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