利用深度学习分析日本人的男性/女性前额形状特征

Saki Otsuda, Toshinobu Harada
{"title":"利用深度学习分析日本人的男性/女性前额形状特征","authors":"Saki Otsuda, Toshinobu Harada","doi":"10.5057/JJSKE.TJSKE-D-20-00023","DOIUrl":null,"url":null,"abstract":": In facial reconstruction by plastic surgery, masculine and feminine are one of the factors that affect the degree of perfection. It is useful to analyze the characteristics for creating a natural shape as a male or female. In this study, 3D models were created by measuring the facial shapes of Japanese men and women (75 men, 75 women). 100 cross-sectional images of the forehead were made for each person from the 3D model. These images and the gender were used as teaching signals, and the CNN was trained by them. Next, we visualized the characteristics found by the learned CNN using Grad-CAM, and performed curvature analysis on the characteristic parts. As a result, the male characteristic was the swell of superciliary arch and the female characteristic was the roundness of the frontal tuber.","PeriodicalId":127268,"journal":{"name":"Transactions of Japan Society of Kansei Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Analyses of Characteristics of Japanese Forehead Shapes for Masculine / Feminine using Deep Learning\",\"authors\":\"Saki Otsuda, Toshinobu Harada\",\"doi\":\"10.5057/JJSKE.TJSKE-D-20-00023\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": In facial reconstruction by plastic surgery, masculine and feminine are one of the factors that affect the degree of perfection. It is useful to analyze the characteristics for creating a natural shape as a male or female. In this study, 3D models were created by measuring the facial shapes of Japanese men and women (75 men, 75 women). 100 cross-sectional images of the forehead were made for each person from the 3D model. These images and the gender were used as teaching signals, and the CNN was trained by them. Next, we visualized the characteristics found by the learned CNN using Grad-CAM, and performed curvature analysis on the characteristic parts. As a result, the male characteristic was the swell of superciliary arch and the female characteristic was the roundness of the frontal tuber.\",\"PeriodicalId\":127268,\"journal\":{\"name\":\"Transactions of Japan Society of Kansei Engineering\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transactions of Japan Society of Kansei Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5057/JJSKE.TJSKE-D-20-00023\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions of Japan Society of Kansei Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5057/JJSKE.TJSKE-D-20-00023","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在面部整形手术中,男性化和女性化是影响完美程度的因素之一。作为男性或女性,分析塑造自然形体的特征是有用的。在这项研究中,通过测量日本男性和女性(75名男性,75名女性)的面部形状,创建了3D模型。从3D模型中为每个人制作了100张额头的横截面图像。将这些图像和性别作为教学信号,并以此来训练CNN。接下来,我们使用Grad-CAM将学习到的CNN发现的特征可视化,并对特征部位进行曲率分析。结果表明,雄性特征为眉弓肿胀,雌性特征为额结节圆润。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Analyses of Characteristics of Japanese Forehead Shapes for Masculine / Feminine using Deep Learning
: In facial reconstruction by plastic surgery, masculine and feminine are one of the factors that affect the degree of perfection. It is useful to analyze the characteristics for creating a natural shape as a male or female. In this study, 3D models were created by measuring the facial shapes of Japanese men and women (75 men, 75 women). 100 cross-sectional images of the forehead were made for each person from the 3D model. These images and the gender were used as teaching signals, and the CNN was trained by them. Next, we visualized the characteristics found by the learned CNN using Grad-CAM, and performed curvature analysis on the characteristic parts. As a result, the male characteristic was the swell of superciliary arch and the female characteristic was the roundness of the frontal tuber.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
How the Kawaii Emotion had been Expressed in Japanese Study of New Business Search Model using IP Landscape Color Index Development of Nagoya Cochin Eggshell Verification of Media and Content Contributing to Purchase Intention in the Automotive Industry Influence of Selection Process on its Result in Product Purchase
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1