Face Recognition Under Varying Illumination Using Gradientfaces

DOI10.1109/TIP.2009.2028255zbMath1371.94457WikidataQ51808352 ScholiaQ51808352MaRDI QIDQ5366169

Bin Fang, Taiping Zhang, Xiaoyu Liu, Zhaowei Shang, Yuan Yan Tang

Publication date: 9 October 2017

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

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A FUSION FRAMEWORK FOR FACE RECOGNITION UNDER VARYING ILLUMINATION BASED ON MULTI-SCALE ANALYSIS ⋮ Hyperspectral unmixing via deep matrix factorization ⋮ Robust subspace learning method for hyperspectral image classification ⋮ Nonnegative matrix factorization with region sparsity learning for hyperspectral unmixing ⋮ Destriping hyperspectral imagery via spectral–spatial low-rank representation ⋮ Differential weights-based band selection for hyperspectral image classification ⋮ Improvement of the fast clustering algorithm improved by \(K\)-means in the big data ⋮ Low-resolution and open-set face recognition via recursive label propagation based on statistical classification ⋮ Object tracking via dual fuzzy low-rank approximation ⋮ Radon–Fourier descriptor for invariant pattern recognition ⋮ Holistic learning-based high-order feature descriptor for smoke recognition ⋮ Nonnegative matrix factorization with manifold structure for face recognition ⋮ Enhanced biologically inspired model for image recognition based on a novel patch selection method with moment ⋮ Insulator detection and recognition of explosion based on convolutional neural networks ⋮ Spatial distribution preserving-based sparse subspace clustering for hyperspectral image ⋮ Nuclear norm based two-dimensional sparse principal component analysis ⋮ Multispectral face spoofing detection using VIS–NIR imaging correlation ⋮ Robust and discriminative dictionary learning for face recognition ⋮ Multi-pose 3D facial texture refinement for face recognition ⋮ A semantic tree method for image classification and video action recognition ⋮ Robust video-based face recognition via M-estimator and image set collaborative representation ⋮ Effective human detection via multi-model classification and adaptive late fusion ⋮ Non-convex clustering via proximal alternating linearized minimization method ⋮ The fast clustering algorithm for the big data based on K-means ⋮ Reconstructed error and linear representation coefficients restricted by \(\ell_1\)-minimization for face recognition under different illumination and occlusion ⋮ OCCLUSION ROBUST FACE RECOGNITION WITH SCATTERING OPERATOR IN GRADIENT DOMAIN ⋮ Multi-view feature selection via sparse tensor regression

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