Plastic Surgery Face Recognition USING Photometric based illumination normalization Techniques and Gabor faces (Dept. E. (Electronics))

Computer vision is a process of electronically perceiving and understanding of an image like human vision system (HVS) do. Face recognition techniques (FRT) determines the identity of the individual by matching the facial images with the one stored in the facial database. The performance of FRT is greatly affected by variations in face due to different factors. It is interesting to study how well these issues are being handled by RST and near set theory to improve the performance. The variation in illumination and plastic surgery changes the appearance of face that introduces imprecision and vagueness. One part of chapter introduces the adaptive illumination normalization technique using RST that classifies the image illumination into three classes based on which illumination normalization is performed using an appropriate filter. Later part of this chapter introduces use of near set theory for FRT on facial images that have previously undergone some feature modifications through plastic surgery.

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An efficient illumination normalization method for face recognition

Pattern Recognition Letters ◽

10.1016/j.patrec.2005.09.026 ◽

2006 ◽

Vol 27 (6) ◽

pp. 609-617 ◽

Cited By ~ 103

Author(s):

Xudong Xie ◽

Kin-Man Lam

Keyword(s):

Face Recognition ◽

Normalization Method ◽

Illumination Normalization

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Illumination Normalization for Face Recognition via Jointly Optimized Dictionary-Learning and Sparse Representation

IEEE Access ◽

10.1109/access.2018.2878603 ◽

2018 ◽

Vol 6 ◽

pp. 66632-66640

Author(s):

Yuyao Zhang ◽

Lihui Wang ◽

Xiaojun Guan ◽

Hongjiang Wei

Keyword(s):

Face Recognition ◽

Sparse Representation ◽

Dictionary Learning ◽

Illumination Normalization

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Illumination Normalization Using Self-lighting Ratios for 3D2D Face Recognition

Computer Vision – ECCV 2012. Workshops and Demonstrations - Lecture Notes in Computer Science ◽

10.1007/978-3-642-33868-7_22 ◽

2012 ◽

pp. 220-229 ◽

Cited By ~ 6

Author(s):

Xi Zhao ◽

Shishir K. Shah ◽

Ioannis A. Kakadiaris

Keyword(s):

Face Recognition ◽

Illumination Normalization

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Illumination Normalization Algorithm Combination Analysis in Face Recognition

Mokslas - Lietuvos ateitis ◽

10.3846/mla.2017.1036 ◽

2017 ◽

Vol 9 (3) ◽

pp. 334-339

Author(s):

Rokas Semėnas

Keyword(s):

Face Recognition ◽

Large Scale ◽

Real Life ◽

Direct Approach ◽

Small Scale ◽

Test Results ◽

Illumination Normalization ◽

Recognition Algorithms ◽

Life Problems

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.

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