Illumination Normalization Algorithm Combination Analysis in Face Recognition
Rokas Semėnas (Vilnius Gediminas Technical University, Lithuania)
Abstract
Face recognition programs have many practical usages in various fields, such as security or entertainment. Existing recognition algorithms must deal with various real life problems – mainly with illumination. In practice, illumination normalization models are often used only for Small-scale futures extraction, ignoring Large-scale features. In this article, new and more direct approach to this problem is offered, used algorithms and test results are given.
Article in:
Lithuanian
Article published:
2017-07-04
Keyword(s): illumination normalization; face recognition; small-scale features; large-scale features; PCA; LDA; LBP.
DOI: 10.3846/mla.2017.1036
Science – Future of Lithuania / Mokslas – Lietuvos Ateitis ISSN 2029-2341, eISSN 2029-2252
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 License.