The Center for Research on Intelligent Perception and Computing
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Guangqi Hou

             E-mail:gqhou at nlpr.ia.ac.cn
             Tel: +86-10-82544489
             Address: Room 1501, Intelligent Building, 95 Zhongguancun East Road, Haidian District, BEIJING, CHINA
             Postcode: 100190
             Homepage: http://cripac.ia.ac.cn/en/EN/column/item115.shtml

Overview

Dr. Guangqi Hou received his BSc, MSc and PhD degree from Beijing Institute of Technology, China in 2001, 2004 and 2011, respectively. He was a research fellow at the Institute of Automation, Chinese Academy of Sciences from 2011 to 2013. In July 2013, Dr. Hou joined the National Laboratory of Pattern Recognition (NLPR) as an Assistant Professor, and became an Associate Professor since Nov. 2014.
His current research focuses on Optical Imaging, Computational Photography, Light Field Photography, Pattern Recognition and Computer Vision. He is a member of IEEE/SPIE, and a reviewer of TIFS/Neuocomputing/Sensors/IJAC.

 

Research Area

Optical Imaging, Computational Photography, Light Field Photography, Pattern Recognition and Computer Vision

Selected Publications

1. Chi Zhang, Guangqi Hou, Zhenan Sun and Tieniu Tan, “Efficient Auto-Refocusing of Iris Images for Light-Filed Cameras,” Proc. International Joint Conference on Biometrics, Sep 29-Oct 2, 2014, Florida USA.
2. Jie Gui, Zhenan Sun, Guangqi Hou and Tieniu Tan, “An Optimal Set of Code Words and Correntropy for Rotated Least Squares Regression,” Proc. International Joint Conference on Biometrics, Sep 29-Oct 2, 2014, Florida USA.
3. Shu Zhang, Guangqi Hou and Zhenan Sun, “Eyelash Removal Using Light Field Camera for Iris Recognition,” Proc. Chinese Conference on Biometric Recognition, vol.8833, pp. 319-327, November 2014, Shengyang, China.
4. Chi Zhang, Guangqi Hou, Zhenan Sun, Tieniu Tan and Zhiliang Zhou, “ Light Field Photography for Iris Image Acquisition,” Proc. Chinese Conference on Biometric Recognition, pp. 345-352, November 2013, Jinan, China
5. Guangqi Hou and Ping Wei, “Efficient Stereo Matching Scheme Based on Graph Cuts,” Journal of Beijing Institute of Technology, Vol.4 2010.

 
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