Mallick, Prakash and Ankur, Ashish (2012) Design Of Human Facial Feature Recognition
System. BTech thesis.
Augmenting human computer interaction with automated analysis and synthesis of facial expressions is the goal towards which much research effort has been devoted to in the last few years. Facial feature recognition is one of the important aspects of natural human-machine interfaces; it has great applications such as in behavioral science, security systems and in clinical practice. Although humans recognize facial expressions virtually without effort or delay, reliable expression recognition by machine is still a challenging task. The face expression recognition problem is challenging because different individuals display the same expression differently. In this project we are trying to design a facial feature recognition system in real time using the concepts of Haar classifiers, contour concepts, template matching and studying some models related to it. We have tried to first extract face region from the video using above mentioned approach and had tried to extract some facial features and locate their position in the image.
|Item Type:||Thesis (BTech)|
|Uncontrolled Keywords:||Facial Feature Recognition, Image Processing, OpenCV, Active Shape models, Haar Classifiers, AdaBoost machine learning, Canny Edge detectors, Contour|
|Subjects:||Engineering and Technology > Electrical Engineering > Image Processing|
|Divisions:||Engineering and Technology > Department of Electrical Engineering|
|Deposited By:||Ashish Ankur|
|Deposited On:||28 May 2012 15:28|
|Last Modified:||28 May 2012 15:28|
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