Face recognition---face image processing Toolbox,
2016-08-23
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The INFace (Illumination Normalization techniques for robust Face recognition) toolbox v 2.0 is a collection of Matlab functions and scripts intended to help researchers working in the field of face recognition. The toolbox was produced as
a byproduct of my research work and is freely available for download. The INface toolbox v2.0 includes implementations of the following photometric normalization techniques: the single-scale-retinex algorithm, the multi-scaleretinex algorithm, the single-scale self quotient image, the multi-scale self quotient image, the homomorphic-filtering-based normalization technique, a wavelet-based normalization technique, a wevelet-denoising-based normalization technique, the
isotropic-diffusion-based normalization technique, the anisotropic-diffusion-based normalization technique, the non-local-means-based normalization technique, the adaptive non-local-means-based normalization technique, the DCT-based normal
a byproduct of my research work and is freely available for download. The INface toolbox v2.0 includes implementations of the following photometric normalization techniques: the single-scale-retinex algorithm, the multi-scaleretinex algorithm, the single-scale self quotient image, the multi-scale self quotient image, the homomorphic-filtering-based normalization technique, a wavelet-based normalization technique, a wevelet-denoising-based normalization technique, the
isotropic-diffusion-based normalization technique, the anisotropic-diffusion-based normalization technique, the non-local-means-based normalization technique, the adaptive non-local-means-based normalization technique, the DCT-based normal
matlab
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