Table Of ContentREVIEWS, REFINEMENTS
AND NEW IDEAS IN
FACE RECOGNITION
Edited by Peter M. Corcoran
Reviews, Refinements and New Ideas in Face Recognition
Edited by Peter M. Corcoran
Published by InTech
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Copyright © 2011 InTech
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First published July, 2011
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Reviews, Refinements and New Ideas in Face Recognition, Edited by Peter M. Corcoran
p. cm.
ISBN 978-953-307-368-2
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Contents
Preface IX
Part 1 Statistical Face Models & Classifiers 1
Chapter 1 A Review of Hidden Markov Models
in Face Recognition 3
Claudia Iancu and Peter M. Corcoran
Chapter 2 GMM vs SVM for Face Recognition
and Face Verification 29
Jesus Olivares-Mercado, Gualberto Aguilar-Torres,
Karina Toscano-Medina, Mariko Nakano-Miyatake
and Hector Perez-Meana
Chapter 3 New Principles in Algorithm Design for
Problems of Face Recognition 49
Vitaliy Tayanov
Chapter 4 A MANOVA of LBP Features
for Face Recognition 75
Yuchun Fang, Jie Luo, Gong Cheng,
Ying Tan and Wang Dai
Part 2 Face Recognition with Infrared Imaging 93
Chapter 5 Recent Advances on Face Recognition
Using Thermal Infrared Images 95
César San Martin, Roberto Carrillo, Pablo Meza,
Heydi Mendez-Vazquez, Yenisel Plasencia,
Edel García-Reyes and Gabriel Hermosilla
Chapter 6 Thermal Infrared Face Recognition – a Biometric
Identification Technique for Robust Security System 113
Mrinal Kanti Bhowmik, Kankan Saha, Sharmistha Majumder,
Goutam Majumder, Ashim Saha, Aniruddha Nath Sarma,
Debotosh Bhattacharjee, Dipak Kumar Basu and Mita Nasipuri
VI Contents
Part 3 Refinements of Classical Methods 139
Chapter 7 Dimensionality Reduction Techniques
for Face Recognition 141
Shylaja S S, K N Balasubramanya Murthy and S Natarajan
Chapter 8 Face and Automatic Target Recognition Based on
Super-Resolved Discriminant Subspace 167
Widhyakorn Asdornwised
Chapter 9 Efficiency of Recognition Methods for Single
Sample per Person Based Face Recognition 181
Miloš Oravec, Jarmila Pavlovičová, Ján Mazanec,
Ľuboš Omelina, Matej Féder and Jozef Ban
Chapter 10 Constructing Kernel Machines in the Empirical
Kernel Feature Space 207
Huilin Xiong and Zhongli Jiang
Part 4 Robust Facial Localization & Recognition 223
Chapter 11 Additive Noise Robustness of Phase-Input Joint
Transform Correlators in Face Recognition 225
Alin Cristian Teusdea and Gianina Adela Gabor
Chapter 12 Robust Face Detection through Eyes Localization
using Dynamic Time Warping Algorithm 249
Somaya Adwan
Part 5 Face Recognition in Video 271
Chapter 13 Video-Based Face Recognition Using
Spatio-Temporal Representations 273
John See, Chikkannan Eswaran
and Mohammad Faizal Ahmad Fauzi
Chapter 14 Real-Time Multi-Face Recognition and Tracking Techniques
Used for the Interaction between Humans and Robots 293
Chin-Shyurng Fahn and Chih-Hsin Wang
Part 6 Perceptual Face Recognition in Humans 315
Chapter 15 Face Recognition without Identification 317
Anne M. Cleary
Preface
As a baby one of our earliest stimuli is that of human faces. We rapidly learn to
identify, characterize and eventually distinguish those who are near and dear to us.
This skill stays with us throughout our lives.
As humans, face recognition is an ability we accept as commonplace. It is only when
we attempt to duplicate this skill in a computing system that we begin to realize the
complexity of the underlying problem. Understandably, there are a multitude of
differing approaches to solving this complex problem. And while much progress has
been made many challenges remain.
This book is arranged around a number of clustered themes covering different aspects
of face recognition. The first section on Statistical Face Models and Classifiers presents
some reviews and refinements of well-known statistical models. The second section
presents two articles exploring the use of Infrared imaging techniques to refine and
even replace conventional imaging. After this follows the section with a few articles
devoted to refinements of classical methods. Articles that examine new approaches to
improve the robustness of several face analysis techniques are followed by two articles
dealing with the challenges of real-time analysis for facial recognition in video
sequences. A final article explores human perceptual issues of face recognition.
I hope that you find these articles interesting, and that you learn from them and
perhaps even adopts some of these methods for use in your own research activities.
Sincerely,
Peter M. Corcoran
Vice-Dean,
College of Engineering & Informatics,
National University of Ireland Galway (NUIG),
Galway, Ireland
