Fusing Gabor and LBP Feature Sets for Kernel-Based Face Recognition

By Xiaoyang Tan, Bill Triggs. Analysis and Modeling of Faces and Gestures, 2007

340 citations recorded by the source corpus.

How researchers see this paper

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State of the Art in Defect Detection Based on Machine Vision (2021, background): “This transform simulates the biological action of human eyes and can extract relevant features in different scales and directions in the frequency domain [126, 127].”
Fusing Local Patterns of Gabor Magnitude and Phase for Face Recognition (2010, methodology): “Note: As is in this work, the eye positions in the original face images are manually located for the methods in [ 32 ], [47] and [49], and unknown for that in [8].”
Cosine Similarity Metric Learning for Face Verification (2010, background): “Features can be combined at the feature extraction step [18,19] or at the veri cation step.”
Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition (2014, background): “M ul ti pl e D es cr ip to rs AMFG07‘ Gabor + LBP + KDCV [40] 83.”
Enhanced Local Texture Feature Sets for Face Recognition Under Difficult Lighting Conditions (2007, methodology): “A preliminary description of the methods was presented in the conference papers [40,41].”
Effective Unconstrained Face Recognition by Combining Multiple Descriptors and Learned Background Statistics (2011, neutral): “More recently [21]–[23], Gabor wavelets have been used to describe the image appearance.”