一个简单的框架,用于从运动中准确估计结构

A. El-Attar, H. Tairi, Mohammed Karim
{"title":"一个简单的框架,用于从运动中准确估计结构","authors":"A. El-Attar, H. Tairi, Mohammed Karim","doi":"10.1109/INTECH.2012.6457772","DOIUrl":null,"url":null,"abstract":"In this paper we introduce a simple framework for the Structure From Motion problem resolution using the classical and general formulation of the problem. We propose a two steps algorithm that does not impose any constraints on the scene. The purpose of the first step is the extraction of a convenient “Projective Reconstruction” using a simple method. Indeed, it firstly initializes the projective calibration of the scene and then refines it using non-linear optimization. The extracted reconstruction is then integrated in the second step consisting on the upgrade of the reconstruction to a metric one; this is done through the research of the camera intrinsic parameters necessary for the upgrade stage. A multi-stage auto-calibration algorithm is proposed to iteratively estimate each parameter alone and finally refines all of them at once. Once these parameters are obtained, the 3D Euclidean reconstruction of the scene is extracted using a publicly available Multi-View Stereo software.","PeriodicalId":369113,"journal":{"name":"Second International Conference on the Innovative Computing Technology (INTECH 2012)","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An easy framework for an accurate estimation of the Structure From Motion\",\"authors\":\"A. El-Attar, H. Tairi, Mohammed Karim\",\"doi\":\"10.1109/INTECH.2012.6457772\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we introduce a simple framework for the Structure From Motion problem resolution using the classical and general formulation of the problem. We propose a two steps algorithm that does not impose any constraints on the scene. The purpose of the first step is the extraction of a convenient “Projective Reconstruction” using a simple method. Indeed, it firstly initializes the projective calibration of the scene and then refines it using non-linear optimization. The extracted reconstruction is then integrated in the second step consisting on the upgrade of the reconstruction to a metric one; this is done through the research of the camera intrinsic parameters necessary for the upgrade stage. A multi-stage auto-calibration algorithm is proposed to iteratively estimate each parameter alone and finally refines all of them at once. Once these parameters are obtained, the 3D Euclidean reconstruction of the scene is extracted using a publicly available Multi-View Stereo software.\",\"PeriodicalId\":369113,\"journal\":{\"name\":\"Second International Conference on the Innovative Computing Technology (INTECH 2012)\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Second International Conference on the Innovative Computing Technology (INTECH 2012)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INTECH.2012.6457772\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Second International Conference on the Innovative Computing Technology (INTECH 2012)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INTECH.2012.6457772","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

在本文中,我们利用经典的和一般的结构运动问题的表述,介绍了一个简单的结构运动问题求解框架。我们提出了一种不施加任何场景约束的两步算法。第一步的目的是使用简单的方法提取方便的“投影重建”。实际上,它首先初始化场景的投影校准,然后使用非线性优化对其进行细化。然后将提取的重构集成到第二步中,第二步包括将重构升级为度量重构;这是通过对相机升级阶段所需要的内在参数的研究来完成的。提出了一种多阶段自校正算法,对每个参数进行单独迭代估计,最后一次对所有参数进行精化。一旦获得这些参数,场景的3D欧几里得重建将使用公开的多视图立体软件进行提取。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An easy framework for an accurate estimation of the Structure From Motion
In this paper we introduce a simple framework for the Structure From Motion problem resolution using the classical and general formulation of the problem. We propose a two steps algorithm that does not impose any constraints on the scene. The purpose of the first step is the extraction of a convenient “Projective Reconstruction” using a simple method. Indeed, it firstly initializes the projective calibration of the scene and then refines it using non-linear optimization. The extracted reconstruction is then integrated in the second step consisting on the upgrade of the reconstruction to a metric one; this is done through the research of the camera intrinsic parameters necessary for the upgrade stage. A multi-stage auto-calibration algorithm is proposed to iteratively estimate each parameter alone and finally refines all of them at once. Once these parameters are obtained, the 3D Euclidean reconstruction of the scene is extracted using a publicly available Multi-View Stereo software.
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