Multi-Layer Sparse Representation for Weighted LBP-Patches Based Facial Expression Recognition

Sensors - Switzerland
doi 10.3390/s150306719
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MDPI AG

Related search

Face Detection Based on Multi-Block LBP Representation

Lecture Notes in Computer Science
Computer ScienceTheoretical Computer Science
English

Barycentric Representation and Metric Learning for Facial Expression Recognition

2018English

Saliency-Based Framework for Facial Expression Recognition

Frontiers of Computer Science
Computer ScienceTheoretical Computer Science
2018English

Wavelet Based Approach for Facial Expression Recognition

International Journal of Advances in Intelligent Informatics
Computer VisionPattern RecognitionHuman-Computer InteractionArtificial Intelligence
2015English

Low-Rank and Eigenface Based Sparse Representation for Face Recognition

PLoS ONE
Multidisciplinary
2014English

On the Dimensionality Reduction for Sparse Representation Based Face Recognition

2010English

Volumetric Representation for Sparse Multi-Views

2006English

Active AU Based Patch Weighting for Facial Expression Recognition

Sensors
InstrumentationInformation SystemsElectronic EngineeringBiochemistryAnalytical ChemistryMolecular Physics,ElectricalAtomicMedicineOptics
2017English

Random Gabor Based Templates for Facial Expression Recognition in Images With Facial Occlusion

Neurocomputing
Computer Science ApplicationsArtificial IntelligenceCognitive Neuroscience
2014English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy