Please use this identifier to cite or link to this item:
https://publication.npru.ac.th/jspui/handle/123456789/801| Title: | Real-time Facial Feature Detection |
| Authors: | Manlong, Pisit Khlayphruk, Phatthrawut Srichan, Suntiphab Srichumroenrattana, Natchamol |
| Keywords: | Face composition detection Real-time Harr Cascade Classifier |
| Issue Date: | 10-Jul-2020 |
| Abstract: | The 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. |
| URI: | https://publication.npru.ac.th/jspui/handle/123456789/801 |
| Appears in Collections: | Proceedings of the 12th NPRU National Academic Conference |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| The 12th NPRU_10.pdf | 875.79 kB | Adobe PDF | View/Open |
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