TY  - CHAP
AU  - Cesar Fernandez
AU  - Maria Asuncion Vicente
ED  - Milos Oravec
Y1  - 2010-04-01
PY  - 2010
T1  - Interest-Point based Face Recognition System
N2  - This book aims to bring together selected recent advances, applications and original results in the area of biometric face recognition. They can be useful for researchers, engineers, graduate and postgraduate students, experts in this area and hopefully also for people interested generally in computer science, security, machine learning and artificial intelligence.
Various methods, approaches and algorithms for recognition of human faces are used by authors of the chapters of this book, e.g. PCA, LDA, artificial neural networks, wavelets, curvelets, kernel methods, Gabor filters, active appearance models, 2D and 3D representations, optical correlation, hidden Markov models and others. Also a broad range of problems is covered: feature extraction and dimensionality reduction (chapters 1-4), 2D face recognition from the point of view of full system proposal (chapters 5-10), illumination and pose problems (chapters 11-13), eye movement (chapter 14), 3D face recognition (chapters 15-19) and hardware issues (chapters 19-20).
BT  - Face Recognition
SP  - Ch. 6
UR  - https://doi.org/10.5772/8941
DO  - 10.5772/8941
SN  - 
PB  - IntechOpen
CY  - Rijeka
Y2  - 2024-04-24
ER  -