Boosted manifold principal angles for image set-based recognition

DOI10.1016/j.patcog.2006.12.030zbMath1118.68627OpenAlexW2068396114MaRDI QIDQ885194

Tae-Kyun Kim, Roberto Cipolla, Ognjen Arandjelović

Publication date: 8 June 2007

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2006.12.030

zbMATH Keywords

robustnessinvariancemanifoldsilluminationcanonical correlation analysisface recognitionboostingimage setprincipal angleposenonlinear subspace

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (3)

Graph-based classification of multiple observation sets ⋮ Discriminative extended canonical correlation analysis for pattern set matching ⋮ Kernel discriminant transformation for image set-based face recognition

Uses Software

• AdaBoost.MH

Cites Work

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• A view of three decades of linear filtering theory
• Probabilistic Principal Component Analysis
• Numerical Methods for Computing Angles Between Linear Subspaces
• 10.1162/1532443041827934
• Structural, Syntactic, and Statistical Pattern Recognition
• RELATIONS BETWEEN TWO SETS OF VARIATES

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