From Event: SPIE Optical Engineering + Applications, 2016
In order to study the learning behaviors of college students, we need to identify students with the monitoring videos in the
context of college classroom. We analyze the main challenges of face recognition under classroom conditions, and propose
a face recognition method via combining multi-feature with alignment preprocessing. Obviously, the more identification
photos per student may improve the recognition accuracy and the computational complexity simultaneously. Aiming at
the practical use, we not only study on the accuracy but also the efficiency of the proposed method. We use the practical
classroom videos and standard face databases to explore the best feature fusion strategies and prove the universality of the
Bo Sun, Meng Guo, Jun He, and Lejun Yu, "Method of student identification in the context of college classroom," Proc. SPIE 9970, Optics and Photonics for Information Processing X, 997012 (Presented at SPIE Optical Engineering + Applications: August 31, 2016; Published: 14 September 2016); https://doi.org/10.1117/12.2235675.
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