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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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