用于分析/合成图像编码的人体手臂建模

R. Hsu, M. Kageyama, H. Fukui, Y. Nakaya, H. Harashima
{"title":"用于分析/合成图像编码的人体手臂建模","authors":"R. Hsu, M. Kageyama, H. Fukui, Y. Nakaya, H. Harashima","doi":"10.1109/ROMAN.1993.367694","DOIUrl":null,"url":null,"abstract":"Analysis/synthesis image coding is potentially a powerful technique for compressing scenes dominated by the head-shoulder images, as in a videotelephone scene with a closeup of the human upper-body. In this paper, we propose a novel approach to image coding of the human arm, based on kinematic modeling of the human arm and motion analysis of the head-shoulder image sequences. The main characteristics of this approach are that i) it relies on the assumption that the human arm can be modeled as a kinematic linkage connected by movable joints, ii) it approximates the 3-D kinematic arm motion from the 2-D image velocities, and iii) it synthesizes shoulder image sequences from one frame of texture image, the wire-frame arm model, and estimated kinematic motion. We evaluated our approach in simulations involving a grayscale monocular image sequence of a moving arm.<<ETX>>","PeriodicalId":270591,"journal":{"name":"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Human arm modeling for analysis/synthesis image coding\",\"authors\":\"R. Hsu, M. Kageyama, H. Fukui, Y. Nakaya, H. Harashima\",\"doi\":\"10.1109/ROMAN.1993.367694\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Analysis/synthesis image coding is potentially a powerful technique for compressing scenes dominated by the head-shoulder images, as in a videotelephone scene with a closeup of the human upper-body. In this paper, we propose a novel approach to image coding of the human arm, based on kinematic modeling of the human arm and motion analysis of the head-shoulder image sequences. The main characteristics of this approach are that i) it relies on the assumption that the human arm can be modeled as a kinematic linkage connected by movable joints, ii) it approximates the 3-D kinematic arm motion from the 2-D image velocities, and iii) it synthesizes shoulder image sequences from one frame of texture image, the wire-frame arm model, and estimated kinematic motion. We evaluated our approach in simulations involving a grayscale monocular image sequence of a moving arm.<<ETX>>\",\"PeriodicalId\":270591,\"journal\":{\"name\":\"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ROMAN.1993.367694\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 1993 2nd IEEE International Workshop on Robot and Human Communication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ROMAN.1993.367694","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

分析/合成图像编码是一种潜在的强大技术,用于压缩由头肩图像主导的场景,如在一个有人类上半身特写的视频电话场景中。本文提出了一种基于人体手臂运动学建模和头肩图像序列运动分析的人体手臂图像编码新方法。该方法的主要特点是:(1)基于人体手臂可以被建模为由活动关节连接的运动机构的假设;(2)从二维图像速度近似手臂的三维运动;(3)从一帧纹理图像、线框手臂模型和估计的运动学运动合成肩部图像序列。我们在涉及移动手臂的灰度单目图像序列的模拟中评估了我们的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Human arm modeling for analysis/synthesis image coding
Analysis/synthesis image coding is potentially a powerful technique for compressing scenes dominated by the head-shoulder images, as in a videotelephone scene with a closeup of the human upper-body. In this paper, we propose a novel approach to image coding of the human arm, based on kinematic modeling of the human arm and motion analysis of the head-shoulder image sequences. The main characteristics of this approach are that i) it relies on the assumption that the human arm can be modeled as a kinematic linkage connected by movable joints, ii) it approximates the 3-D kinematic arm motion from the 2-D image velocities, and iii) it synthesizes shoulder image sequences from one frame of texture image, the wire-frame arm model, and estimated kinematic motion. We evaluated our approach in simulations involving a grayscale monocular image sequence of a moving arm.<>
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
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信