Li Canlin

Lecturer

ADDRESS：School of Computer and   Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou   450000, China

PHONE：+86-0371-86609559

FAX：

E-mail：lcl_zju@aliyun.com

Websites：

Research Interests:

image   processing, visual media, computer graphics

Educational Background:

Li Canlin   received his B.Sc. degree in Computer Science from National University of   Defense Technology, China, in 1998. He received his M.E. degree at the   College of Computer Science and Technology, Zhejiang University, China, in   2004. Li Canlin received his PhD degree in computer science and Engineering   from Shanghai Jiao tong University, China, in 2010.

Courses Taught:

C Programming、Advanced C Programming、C#   Programming

Publications:

1. Li Canlin, Ma   Lizhuang. A new framework for feature descriptor based on SIFT. Pattern   Recognition Letters, 2009,30(5): 544-557.

2. Li Canlin, Lu   Jiajie, Ma Lizhuang. Improved rotation-based self-calibration with a strategy   of rotational angles. Optical Engineering, 2009,48(9), 097202:1-11.

3. Li Canlin, Lu   Ping, Ma Lizhuang. A camera on-line re-calibration framework using SIFT. The   Visual Computer, 2010,26(3): 227-240.

4. Li Canlin, Su   Rijian. A novel similarity metric for image retargeting. Journal of   Information and Computational Science. 2014,11(6): 1815-1822.

5. Li Canlin,   Zhu Fubao. Image similarity measure based on multi-layer matching of SIFT   feature. Journal of Computational Information Systems. 2014,10(11):   4785-4794.

6. Li Canlin,   Zhu Fubao, Su Rijian. A new similarity measure with deformation detection of   visual salient regions for image retargeting. International Journal of   Multimedia and Ubiquitous Engineering, 2014,9(7): 1-14.

7. Li Canlin,   Zhu Fubao, and Yao Ni. Self-calibration of camera with rotary motion based on   SIFT feature matching. International Journal of Signal Processing, Image   Processing and Pattern Recognition, 2014,7(4): 1-12.

Projects Undertaken:

National Nature   Science Foundation of China (No.U1404623)，content-aware   visual media retargeting based on modeling computable cognition of visual   effects.

Honors and Awards:

Society Membership:

Academic Activities: