改进的SoftPOSIT三维视觉跟踪算法

J. Diaz, M. Abderrahim
{"title":"改进的SoftPOSIT三维视觉跟踪算法","authors":"J. Diaz, M. Abderrahim","doi":"10.1109/WISP.2007.4447523","DOIUrl":null,"url":null,"abstract":"This paper presents a new formulation of SoftPOSIT, a model based camera algorithm for determining the pose (position and orientation) of a 3D object from a single 2D image when correspondences between object points and image points are not known. This algorithm integrates the Softassign technique for computing correspondences and the POSIT technique for computing object pose. The method finds the rotation and translation parameters of the camera with respect to an object. The major contribution of this work is in contriving a pragmatic approach for 3D pose estimation and tracking, which yielded faster computation than the original algorithm and good target tracking performance. A new calculation of the Distance Matrix which represents the relationship between the features model projected and the image points has been introduced This new approach has been successfully applied in synthetic and real images demonstrate the effectiveness of the proposal modification.","PeriodicalId":164902,"journal":{"name":"2007 IEEE International Symposium on Intelligent Signal Processing","volume":"240 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Modified SoftPOSIT algorithm for 3D visual tracking\",\"authors\":\"J. Diaz, M. Abderrahim\",\"doi\":\"10.1109/WISP.2007.4447523\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new formulation of SoftPOSIT, a model based camera algorithm for determining the pose (position and orientation) of a 3D object from a single 2D image when correspondences between object points and image points are not known. This algorithm integrates the Softassign technique for computing correspondences and the POSIT technique for computing object pose. The method finds the rotation and translation parameters of the camera with respect to an object. The major contribution of this work is in contriving a pragmatic approach for 3D pose estimation and tracking, which yielded faster computation than the original algorithm and good target tracking performance. A new calculation of the Distance Matrix which represents the relationship between the features model projected and the image points has been introduced This new approach has been successfully applied in synthetic and real images demonstrate the effectiveness of the proposal modification.\",\"PeriodicalId\":164902,\"journal\":{\"name\":\"2007 IEEE International Symposium on Intelligent Signal Processing\",\"volume\":\"240 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 IEEE International Symposium on Intelligent Signal Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WISP.2007.4447523\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 IEEE International Symposium on Intelligent Signal Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WISP.2007.4447523","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

摘要

本文提出了一种新的SoftPOSIT算法,这是一种基于模型的相机算法,用于在物体点与图像点之间的对应关系未知的情况下,从单个二维图像中确定三维物体的姿态(位置和方向)。该算法结合了计算对应关系的Softassign技术和计算目标位姿的POSIT技术。该方法查找相机相对于对象的旋转和平移参数。本文的主要贡献在于提出了一种实用的三维姿态估计和跟踪方法,该方法的计算速度比原算法快,并且具有良好的目标跟踪性能。引入了一种新的表示投影特征模型与图像点之间关系的距离矩阵的计算方法,该方法已成功地应用于合成图像和真实图像中,验证了该方法的有效性。
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
Modified SoftPOSIT algorithm for 3D visual tracking
This paper presents a new formulation of SoftPOSIT, a model based camera algorithm for determining the pose (position and orientation) of a 3D object from a single 2D image when correspondences between object points and image points are not known. This algorithm integrates the Softassign technique for computing correspondences and the POSIT technique for computing object pose. The method finds the rotation and translation parameters of the camera with respect to an object. The major contribution of this work is in contriving a pragmatic approach for 3D pose estimation and tracking, which yielded faster computation than the original algorithm and good target tracking performance. A new calculation of the Distance Matrix which represents the relationship between the features model projected and the image points has been introduced This new approach has been successfully applied in synthetic and real images demonstrate the effectiveness of the proposal modification.
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
Recent Developments in All-Optical Nonlinear Signal Processing for Fiber-Optic Communications Robust Ultrasonic Spread-Spectrum Positioning System using a AoA/ToA Method Distributed perception for a group of legged robots Advanced Multisensorial Barrier for Obstacle Detection Visual Model Feature Tracking For UAV Control
×
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