A benchmark and comparative study of video-based face recognition on cox face database

• Main Authors: HUANG, Zhiwu, SHAN, S., WANG, R., ZHANG, H., LAO, S., KUERBAN, A., CHEN, X.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: benchmarking; COX Face DB; point-to-set correlation learning; still-to-video; Video-based face recognition; video-to-still; video-to-video; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6386; https://ink.library.smu.edu.sg/context/sis_research/article/7389/viewcontent/A_Benchmark_and_Comparative_Study_of.pdf
• Institution: Singapore Management University

Face recognition with still face images has been widely studied, while the research on video-based face recognition is inadequate relatively, especially in terms of benchmark datasets and comparisons. Real-world video-based face recognition applications require techniques for three distinct scenario...