Graph-embedding discriminant analysis on riemannian manifolds for visual recognition

Sareh Shirazi; Azadeh Alavi; Mehrtash T. Harandi

doi:10.1007/978-1-4614-4457-2_7

Graph-embedding discriminant analysis on riemannian manifolds for visual recognition

Sareh Shirazi, Azadeh Alavi, Mehrtash T. Harandi

Research output: Chapter in Book/Report/Conference proceeding › Chapter (Book) › Research › peer-review

Abstract

Recently, several studies have utilised non-Euclidean geometry to address several computer vision problems including object tracking [17], characterising the diffusion of watermolecules as in diffusion tensor imaging [24], face recognition [23,31], human re-identification [4], texture classification [16], pedestrian detection [39] and action recognition [22, 43].

Original language	English
Title of host publication	Graph Embedding for Pattern Analysis
Publisher	Springer
Pages	157-175
Number of pages	19
ISBN (Electronic)	9781461444572
ISBN (Print)	9781461444565
DOIs	https://doi.org/10.1007/978-1-4614-4457-2_7
Publication status	Published - 1 Jan 2013
Externally published	Yes

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10.1007/978-1-4614-4457-2_7

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BT - Graph Embedding for Pattern Analysis

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Graph-embedding discriminant analysis on riemannian manifolds for visual recognition

Abstract

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