@article{90b11de85f6e40b2854e2a51804846c5,
title = "What kind of color spaces is suitable for color face recognition?",
abstract = "Human faces display different color and recent research efforts show that color is useful for face recognition. This paper presents a discriminant color space method and demonstrates its effectiveness using the FRGC Experiment 4 database and the AR database. We find that the discriminant color space is an approximate double-zero-sum (DZS) color space, and further show that a color space with DZS characteristic is more powerful than other color spaces without this characteristic. We finally provide the justification for why the DZS color spaces is more effective than non-DZS color spaces for face verification and recognition from the mutual correlation point of view.",
keywords = "Color space, Face recognition, Fisher linear discriminant analysis, Image recognition",
author = "Jian Yang and Chengjun Liu and Yang, {Jing yu}",
note = "Funding Information: The authors would like to thank the anonymous reviewers for their critical and constructive comments and suggestions. This work was partially supported by the Program for New Century Excellent Talents in University of China , the NUST Outstanding Scholar Supporting Program , the National Science Foundation of China under Grants no. 60973098 and 60632050 , and Award no. 2006-IJ-CX-K033 awarded by the National Institute of Justice, Office of Justice Programs, US Department of Justice. Funding Information: Jian Yang received the B.S. degree in mathematics from the Xuzhou Normal University in 1995. He received the MS degree in applied mathematics from the Changsha Railway University in 1998 and the Ph.D. degree from the Nanjing University of Science and Technology (NUST), on the subject of pattern recognition and intelligence systems in 2002. In 2003, he was a postdoctoral researcher at the University of Zaragoza, and in the same year, he was awarded the RyC program Research Fellowship sponsored by the Spanish Ministry of Science and Technology. From 2004 to 2006, he was a Postdoctoral Fellow at Biometrics Center of Hong Kong Polytechnic University. From 2006 to 2007, he was a Postdoctoral Fellow at Department of Computer Science of New Jersey Institute of Technology. Now, he is a professor in the School of Computer Science and Technology of NUST. He is the author of more than 50 scientific papers in pattern recognition and computer vision. His research interests include pattern recognition, computer vision and machine learning. Currently, he is an associate editor of Pattern Recognition Letters and Neurocomputing, respectively. ",
year = "2010",
month = jun,
doi = "10.1016/j.neucom.2010.02.005",
language = "English (US)",
volume = "73",
pages = "2140--2146",
journal = "Neurocomputing",
issn = "0925-2312",
publisher = "Elsevier B.V.",
number = "10-12",
}