Smile Detector Based on the Motion of Face Reference Points
Name
Andres Traumann
Abstract
Human and computer interaction is without doubt a really important part of our modern society. In order to improve it even further it is possible to develop computer systems that react to gestures or facial expressions of its user.
Smiling is an expression that gives probably the most information about a person. In this thesis we describe an algorithm that understands when a person is smiling. To achieve that we first detect a face of a person using the Viola-Jones algorithm. After that several facial reference points are located and then tracked across several consequent frames using optical flow. The motion of these points is analyzed and the face is classified as smiling or not smiling.
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Gholamreza Anbarjafari
Defence year
2014