Computationally efficient eigenspace decomposition of correlated images characterized by three parameters

DOI10.1007/s10044-008-0135-9zbMath1422.68262OpenAlexW1973291102MaRDI QIDQ710625

K. Saitwal, R. G. Roberts, Anthony A. Maciejewski

Publication date: 19 October 2010

Published in: PAA. Pattern Analysis and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10044-008-0135-9

zbMATH Keywords

computational complexitycomputer visionsingular value decompositioneigenspaceimage sequencesthree-dimensional correlations

Mathematics Subject Classification ID

Factorization of matrices (15A23) Computing methodologies for image processing (68U10) Machine vision and scene understanding (68T45)

Cites Work

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• Fast eigenspace decomposition of correlated images
• A survey of conjugate gradient algorithms for solution of extreme eigen-problems of a symmetric matrix
• Gradient-Type Algorithms for Partial Singular Value Decomposition
• A Method for Computing the Partial Singular Value Decomposition
• Iterative SVD-Based Methods for Ill-Posed Problems

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