虚拟试戴系统人脸姿态估计方法研究

2022 International Seminar on Computer Science and Engineering Technology (SCSET) Pub Date : 2022-01-01 DOI:10.1109/scset55041.2022.00043

Xiwen Shao

{"title":"虚拟试戴系统人脸姿态估计方法研究","authors":"Xiwen Shao","doi":"10.1109/scset55041.2022.00043","DOIUrl":null,"url":null,"abstract":"This paper proposes a 3D face pose estimation algorithm based on feature points, which realizes the angle estimation of human faces in any pose. It can accurately estimate within 30 degrees on 6 degrees of freedom, and provides the algorithm basis for a subsequent real 3D try-on.","PeriodicalId":446933,"journal":{"name":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Face Pose Estimation Method for Virtual Try-on System\",\"authors\":\"Xiwen Shao\",\"doi\":\"10.1109/scset55041.2022.00043\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a 3D face pose estimation algorithm based on feature points, which realizes the angle estimation of human faces in any pose. It can accurately estimate within 30 degrees on 6 degrees of freedom, and provides the algorithm basis for a subsequent real 3D try-on.\",\"PeriodicalId\":446933,\"journal\":{\"name\":\"2022 International Seminar on Computer Science and Engineering Technology (SCSET)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 International Seminar on Computer Science and Engineering Technology (SCSET)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/scset55041.2022.00043\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 International Seminar on Computer Science and Engineering Technology (SCSET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/scset55041.2022.00043","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

摘要

提出了一种基于特征点的三维人脸姿态估计算法，实现了任意姿态下人脸的角度估计。在6个自由度上可精确估计30度以内，为后续真正的3D试戴提供算法依据。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Research on Face Pose Estimation Method for Virtual Try-on System

This paper proposes a 3D face pose estimation algorithm based on feature points, which realizes the angle estimation of human faces in any pose. It can accurately estimate within 30 degrees on 6 degrees of freedom, and provides the algorithm basis for a subsequent real 3D try-on.

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

2022 International Seminar on Computer Science and Engineering Technology (SCSET)

自引率

0.00%

发文量