Discriminant analysis on Riemannian manifold of Gaussian distributions for face recognition with image sets

• Main Authors: WANG, W., WANG, R., HUANG, Zhiwu, SHAN, S., CHEN, X.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2018
• Subjects: Gaussian distribution; graph embedding; kernel discriminative learning; Statistical manifold; Artificial Intelligence and Robotics
• Online Access: https://ink.library.smu.edu.sg/sis_research/6392; https://ink.library.smu.edu.sg/context/sis_research/article/7395/viewcontent/Discriminant_Analysis_on_Riemannian_Manifold_of_Gaussian_Distributions.pdf
• Institution: Singapore Management University

To address the problem of face recognition with image sets, we aim to capture the underlying data distribution in each set and thus facilitate more robust classification. To this end, we represent image set as the Gaussian mixture model (GMM) comprising a number of Gaussian components with prior pro...