Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures

Proceedings of IEEE Workshop on Applications of Computer Vision

Volumn , Issue , 2012, Pages 433-439

  Harandi, Mehrtash T ^a,b   Sanderson, Conrad ^a,b   Wiliem, Arnold ^a,b   Lovell, Brian C ^a,b  

^a CSIRO   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

CANONICAL CORRELATION ANALYSIS; DISCRIMINATION ACCURACY; EUCLIDEAN SPACES; GENERAL APPROACH; GEODESIC DISTANCES; LOCALITY PRESERVING PROJECTIONS; REPRODUCING KERNEL HILBERT SPACES; RIEMANNIAN MANIFOLD; STATE-OF-THE-ART METHODS; TANGENT SPACE; TEXTURE CLASSIFICATION; VISUAL CLASSIFICATION; VISUAL RECOGNITION;

GESTURE RECOGNITION; TEXTURES;

COMPUTER VISION;

EID: 84860679907     PISSN: 21583978     EISSN: 21583986     Source Type: Conference Proceeding    
DOI: 10.1109/WACV.2012.6163005     Document Type: Conference Paper

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