Log-euclidean metric learning on symmetric positive definite manifold with application to image set classification

• Main Authors: HUANG, Zhiwu, WANG, R., SHAN, S., LI, X., CHEN, X.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2015
• Subjects: Databases and Information Systems; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/6397; https://ink.library.smu.edu.sg/context/sis_research/article/7400/viewcontent/Log_euclidean_metric_learning_on_symmetric_positive_definite_manifold_with_application_to_image_set_classification.pdf
• Institution: Singapore Management University

The manifold of Symmetric Positive Definite (SPD) matrices has been successfully used for data representation in image set classification. By endowing the SPD manifold with Log-Euclidean Metric, existing methods typically work on vector-forms of SPD matrix logarithms. This however not only inevitabl...