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Scale- Invariant Face Recognition Using Triangular Geometric Model

Ali, Amal and Asirvadam, Vijanth Sagayan and Malik, Aamir S (2013) Scale- Invariant Face Recognition Using Triangular Geometric Model. In: IEEE International Conference on Signal and Image Processing Applications (ICSIPA) 2013, 8 - 10 October, 2013, Melaka, Malaysia.

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Official URL: http://spsocmalaysia.org/icsipa2013/index.php

Abstract

This work proposed a geometrical model based on multiple triangular features for the purpose of handling the challenge of scale variations that affect the process of face recognition especially in real time applications where the test images are usually taken in random scales that may not be of the same scale as the probe image. Geometrical approaches have proved to be robust to lighting and illumination variation. Furthermore geometrical methods in general do not hold computational complexity and have the benefit of faster processing time, which make them appropriate for real time applications. Fifteen triangle similarity measurement equations were derived and used to build a class of feature vectors for each subject. Ten images in ten different scales were taken for each subject for a total of fifty samples. Classification results show that the proposed model is promising in handling the challenge of scale variations

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:Geometrical model; Scale variations; Triangular features; Similarity proportion ratios; Class
Subjects:Q Science > Q Science (General)
T Technology > T Technology (General)
Academic Subject One:Academic Department - Electrical And Electronics - Communications - Digital Communications - Digital Signal Processing
Departments / MOR / COE:Centre of Excellence > Center for Intelligent Signal and Imaging Research
Mission Oriented Research > Health
ID Code:10981
Deposited By: Dr Aamir Saeed Malik
Deposited On:20 Dec 2013 05:38
Last Modified:20 Dec 2013 05:38

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