Learning invariant face recognition from examples

DOI10.1016/J.NEUNET.2012.07.006zbMath1296.68159OpenAlexW1833977268WikidataQ45371296 ScholiaQ45371296MaRDI QIDQ461123

Marco K. Müller, Rolf P. Würtz, Christian Bodenstein, Michael Tremer

Publication date: 10 October 2014

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2012.07.006

zbMATH Keywords

face recognitionrank statisticsspiking neural networkcontrolled generalizationlearning invariancesituation independencespike time

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Machine vision and scene understanding (68T45)

Uses Software

• CMU PIE
• CAS-PEAL

Cites Work

• Unnamed Item
• Kernel learning of histogram of local Gabor phase patterns for face recognition
• Face recognition approach based on rank correlation of Gabor-filtered images
• Nonparametric measures of dependence for biometric data studies
• Rapid Convergence to Feature Layer Correspondences
• Learning viewpoint-invariant face representations from visual experience in an attractor network
• Slow Feature Analysis: Unsupervised Learning of Invariances
• Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions

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