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Real Time Face-Tracking And Iris Localization

Razalli, Husniza (2009) Real Time Face-Tracking And Iris Localization. Masters thesis, Universiti Putra Malaysia.

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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.

Item Type:Thesis (Masters)
Subject:Visual perception
Subject:Human-computer interaction
Subject:Image processing
Chairman Supervisor:Rahmita Wirza O. K. Rahmat, PhD
Call Number:FSKTM 2009 9
Faculty or Institute:Faculty of Computer Science and Information Technology
ID Code:11928
Deposited By: Mohd Nezeri Mohamad
Deposited On:19 Jul 2011 11:43
Last Modified:27 May 2013 15:50

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