Please use this identifier to cite or link to this item: https://publication.npru.ac.th/jspui/handle/123456789/801
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dc.contributor.authorManlong, Pisit-
dc.contributor.authorKhlayphruk, Phatthrawut-
dc.contributor.authorSrichan, Suntiphab-
dc.contributor.authorSrichumroenrattana, Natchamol-
dc.date.accessioned2020-10-12T04:10:48Z-
dc.date.available2020-10-12T04:10:48Z-
dc.date.issued2020-07-10-
dc.identifier.urihttps://publication.npru.ac.th/jspui/handle/123456789/801-
dc.description.abstractThe objective of this research is to study the method for detecting facial composition and identify which face elements are in which parts such as face, eyes, nose and mouth by using Harr Cascade Classifier method. Then we evaluated the accuracy in identifying face composition from 30 real users and found that the accuracy of the straight face identification is at 95.83 in average, which shows that this method can be used effectively.en_US
dc.subjectFace composition detectionen_US
dc.subjectReal-time Harr Cascade Classifieren_US
dc.titleReal-time Facial Feature Detectionen_US
Appears in Collections:Proceedings of the 12th NPRU National Academic Conference

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