Real Time Face-Tracking and Iris Localization: The design of a real time face-tracking and iris localization system using image processing and circle fitting technique - Tapa blanda

Razalli, Husniza; Wirza O. K. Rahmad, Rahmita; Mahmod, Ramlan

 
9783848410811: Real Time Face-Tracking and Iris Localization: The design of a real time face-tracking and iris localization system using image processing and circle fitting technique
Tapa blanda
ISBN 10: 3848410818 ISBN 13: 9783848410811
Editorial: LAP LAMBERT Academic Publishing, 2012

Sinopsis

Robust, non-intrusive human eye detection problem has been a fundamental and challenging problem for computer vision area. Not only it is a problem of its own, it can be used to ease the problem of finding the locations of other facial features for recognition tasks and human-computer interaction purposes as well. Many previous works have the capability of determining the locations of the human eyes but the main task in this thesis is not only a vision system with eye detection capability. Our aim is to design a real-time, robust, scale-invariant face tracker system with human eye movement indication property using the movements of iris based on localization technique indicate from image processing and circle fitting technique. As a result, our eye tracker system was successfully implemented using non-intrusive webcam with less error.

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Reseña del editor

Robust, non-intrusive human eye detection problem has been a fundamental and challenging problem for computer vision area. Not only it is a problem of its own, it can be used to ease the problem of finding the locations of other facial features for recognition tasks and human-computer interaction purposes as well. Many previous works have the capability of determining the locations of the human eyes but the main task in this thesis is not only a vision system with eye detection capability. Our aim is to design a real-time, robust, scale-invariant face tracker system with human eye movement indication property using the movements of iris based on localization technique indicate from image processing and circle fitting technique. As a result, our eye tracker system was successfully implemented using non-intrusive webcam with less error.

Biografía del autor

Husniza binti Razalli, 29, is a researcher of Multimedia Application at TM Research & Development Berhad. She received B.Sc. degrees in Multimedia in 2005 and M.Sc. degrees in Computer Graphic in 2010 from Universiti Putra Malaysia. She is currently pursuing her PhD degrees with the Computer Graphics, Vision and Visualization Research group

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2012
Idioma
Inglés
ISBN 10 
3848410818
ISBN 13 
9783848410811
Encuadernación
Tapa blanda
Número de páginas
136
Contacto del fabricante
no disponible
Persona responsable
no disponible