Reconstruction and analysis of multi-pose face images based on nonlinear dimensionality reduction.

DOI10.1016/J.PATCOG.2003.07.005zbMath1059.68124OpenAlexW1997388938WikidataQ57811883 ScholiaQ57811883MaRDI QIDQ1425950

D. Massart

Publication date: 14 March 2004

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

Full work available at URL: https://doi.org/10.1016/j.patcog.2003.07.005

zbMATH Keywords

Face recognitionLocally linear embeddingNonlinear dimensionality reductionSupport vector regression

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (6)

3D face recognition in the Fourier domain using deformed circular curves ⋮ Geometrically local embedding in manifolds for dimension reduction ⋮ Finding representative landmarks of data on manifolds ⋮ The LLE and a linear mapping ⋮ Manifold topological multi-resolution analysis method ⋮ Weighted locally linear embedding for dimension reduction

Cites Work

• Unnamed Item
• On a kernel-based method for pattern recognition, regression, approximation, and operator inversion
• 10.1162/153244303768966085
• Local feature analysis: a general statistical theory for object representation

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