Projection metric learning on Grassmann manifold with application to video based face recognition

• Main Authors: HUANG, Zhiwu, WANG, R., SHAN, S., CHEN, X.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Manifolds; Yttrium; Face; Kernel; Hilbert space; Symmetric matrices; Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6400; https://ink.library.smu.edu.sg/context/sis_research/article/7403/viewcontent/Projection_Metric_Learning_on_Grassmann_Manifold_with_Application_to_Video.pdf
• Institution: Singapore Management University

In video based face recognition, great success has been made by representing videos as linear subspaces, which typically lie in a special type of non-Euclidean space known as Grassmann manifold. To leverage the kernel-based methods developed for Euclidean space, several recent methods have been prop...