Face sequence recognition using Grassmann Distances and Grassmann Kernels

In this paper we show how Grassmann distances and Grassmann kernels can be efficiently used to learn and classify face sequence videos. We propose two new methods, the Grassmann Distance Mutual Subspace Method (GD-MSM) which uses Grassmann distances to define the similarity between subspaces of imag...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Shigenaka, R., Raytchev, B., Tamaki, T., Kaneda, K.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Canonical Angles Canonical Correlations Correlation Face Face Sequence Recognition Grassmann Distance Grassmann Kernel Grassmann Manifold Image sequences Kernel Measurement Subspace Methods Support vector machines Training
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