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The INface toolbox for illumination invariant face recognition 1.0

  Date Added: August 16, 2013  |  Visits: 262

The INface toolbox for illumination invariant face recognition

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The INFace (Illumination Normalization techniques for robust Face recognition) toolbox is a collection of Matlab functions and scripts intended to help researchers working in the filed of face recognition. The toolbox was produced as a byproduct of my research work. It 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 normalization technique and a normalization technique based on steerable filters. In addition to the listed techniques there are also a number of histogram manipulation functions included in the toolbox, which can be useful for the task of illumination invariant face recognition.In addition to the functions listed above, the toolbox contains a detail user-manual and several demos with examples of usage of the individual functions.I will try to post the original publication associated with the database as soon as I get the permission of the publisher for doing so.Please report any bugs you find, so I can improve the toolbox.

Requirements: No special requirements
Platforms: Matlab
Keyword: Histogram Illumination Included Invariant Listed Manipulation Number
Users rating: 0/10

License: Shareware Size: 399.36 KB
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