Notch based Face Detection and Facial Feature Localization - Qayyum, Usman
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At present, the model of computer machine is something that is placed at the corner of the room because it is deaf, dumb and blind as well as unaware of the surrounding environment. The most interactive entity with computers is human beings. Imagine a machine that can detect the presence of human being by detecting human face and follows it during the interaction process (tracking). The demand to implement this scenario is to come up with a technique that responds in real time and able to detect the face under varying scale, translation and rotation transformation with facial feature…mehr

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Produktbeschreibung
At present, the model of computer machine is something that is placed at the corner of the room because it is deaf, dumb and blind as well as unaware of the surrounding environment. The most interactive entity with computers is human beings. Imagine a machine that can detect the presence of human being by detecting human face and follows it during the interaction process (tracking). The demand to implement this scenario is to come up with a technique that responds in real time and able to detect the face under varying scale, translation and rotation transformation with facial feature localized. This book discusses in detail the real time implementation of face detection/tracking, face/non-face classification and facial feature localization in video sequence that is invariant to scale, translation, and rotation transformation.
Autorenporträt
Usman Qayyum received the MS (Major: Computer Vision) degree from National University of Sciences and Technology (NUST) in 2006 and awarded President's GOLD medal. He was declared Silver Medalist in his BE degree, 2004. His area of interest are Bio-metrics, Vision based Navigation and Global Optimization.