Presentation | 2015-02-19 Facial Point Detection Based on Deep Convolutional Neural Network with Optimal Minibatch Masatoshi KIMURA, Hiroshi FUKUI, Takayoshi YAMASHITA, Yuji YAMAUCHI, Hironobu FUJIYOSHI, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | We propose a Convolutional Neural Network (CNN)-based method to ensure both robustness to variations in facial pose. Although the robustness of CNN has attracted attention in various fields, the training process suffers from difficulties in parameter setting and the manner in which training samples are provided. We demonstrate a manner of providing samples that results in a better network. Experimental results indicate that the subset with augmentation technique has sufficient variations and quantity to obtain the best performance. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Convolutional Neural Network / Facial Point Detection / minibatch |
Paper # | PRMU2014-127,CNR2014-42 |
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Conference Information | |
Committee | PRMU |
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Conference Date | 2015/2/12(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Pattern Recognition and Media Understanding (PRMU) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Facial Point Detection Based on Deep Convolutional Neural Network with Optimal Minibatch |
Sub Title (in English) | |
Keyword(1) | Convolutional Neural Network |
Keyword(2) | Facial Point Detection |
Keyword(3) | minibatch |
1st Author's Name | Masatoshi KIMURA |
1st Author's Affiliation | College of Engineering, Chubu University() |
2nd Author's Name | Hiroshi FUKUI |
2nd Author's Affiliation | College of Engineering, Chubu University |
3rd Author's Name | Takayoshi YAMASHITA |
3rd Author's Affiliation | College of Engineering, Chubu University |
4th Author's Name | Yuji YAMAUCHI |
4th Author's Affiliation | College of Engineering, Chubu University |
5th Author's Name | Hironobu FUJIYOSHI |
5th Author's Affiliation | College of Engineering, Chubu University |
Date | 2015-02-19 |
Paper # | PRMU2014-127,CNR2014-42 |
Volume (vol) | vol.114 |
Number (no) | 454 |
Page | pp.pp.- |
#Pages | 2 |
Date of Issue |