An optimization of facial feature point detection program by using several types of convolutional neural network
Detection of facial feature points is an important technique used for biometric authentication and facial expression estimation. A facial feature point is a local point indicating both ends of the eye, holes of the nose, and end points of the mouth in the face image. Many researches on face feature...
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| Main Authors: | , , , |
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| Format: | EJournal Article |
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Institute of Advanced Engineering and Science,
2019-11-01.
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| Online Access: | Get fulltext |
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| LEADER | 02171 am a22003253u 4500 | ||
|---|---|---|---|
| 001 | ijeecs17446_13117 | ||
| 042 | |a dc | ||
| 100 | 1 | 0 | |a Shindo, Shyota |e author |
| 100 | 1 | 0 | |e contributor |
| 700 | 1 | 0 | |a Goto, Takaaki |e author |
| 700 | 1 | 0 | |a Kirishima, Tadaaki |e author |
| 700 | 1 | 0 | |a Tsuchida, Kensei |e author |
| 245 | 0 | 0 | |a An optimization of facial feature point detection program by using several types of convolutional neural network |
| 260 | |b Institute of Advanced Engineering and Science, |c 2019-11-01. | ||
| 500 | |a https://ijeecs.iaescore.com/index.php/IJEECS/article/view/17446 | ||
| 520 | |a Detection of facial feature points is an important technique used for biometric authentication and facial expression estimation. A facial feature point is a local point indicating both ends of the eye, holes of the nose, and end points of the mouth in the face image. Many researches on face feature point detection have been done so far, but the accuracy of facial organ point detection is improving by the approach usingConvolutional Neural Network (CNN). However, CNN not only takes time to learn but also the neural network becomes a complicated model, so it is necessary to improve learning time and detection accuracy. In this research, the improvement of the detection accuracy of the learning speed is improved by increasing the convolution layer. | ||
| 540 | |a Copyright (c) 2019 Institute of Advanced Engineering and Science | ||
| 540 | |a http://creativecommons.org/licenses/by-nc/4.0 | ||
| 546 | |a eng | ||
| 690 | |a artificial intelligence; Neural Network; | ||
| 690 | |a Facial Feature Point Detection; Neural Network; Convolutional Neural Network | ||
| 655 | 7 | |a info:eu-repo/semantics/article |2 local | |
| 655 | 7 | |a info:eu-repo/semantics/publishedVersion |2 local | |
| 655 | 7 | |2 local | |
| 786 | 0 | |n Indonesian Journal of Electrical Engineering and Computer Science; Vol 16, No 2: November 2019; 827-834 | |
| 786 | 0 | |n 2502-4760 | |
| 786 | 0 | |n 2502-4752 | |
| 786 | 0 | |n 10.11591/ijeecs.v16.i2 | |
| 787 | 0 | |n https://ijeecs.iaescore.com/index.php/IJEECS/article/view/17446/13117 | |
| 856 | 4 | 1 | |u https://ijeecs.iaescore.com/index.php/IJEECS/article/view/17446/13117 |z Get fulltext |