SIA OpenIR  > 光电信息技术研究室
基于变量含误差模型估计基础矩阵
Alternative TitleEstimation of the Fundamental Matrix Based on Errors-in-Variables Model
侯庭波; 朱枫; 史泽林
Department光电信息研究室
Source Publication微计算机信息
ISSN1008-0570
2008
Volume24Issue:12Pages:199-201
Indexed ByCSCD
CSCD IDCSCD:3344806
Contribution Rank1
Funding Organization国家自然科学基金资助项目(60575024)
Keyword基础矩阵 变量含误差模型 计算机视觉
Abstract估计基础矩阵是计算机视觉中的重要研究问题。本文提出了一种基于变量含误差(EV)模型的非线性估计方法。建立EV模型之后,本文采用非线性目标函数,并同时估计模型参数与测量误差。此外本文方法还考虑了规范化图像坐标和基础矩阵秩为2的约束。模拟数据和真实图像的实验结果表明,本文方法显著提高了估计基础矩阵的精度。
Other AbstractEstimation of the fundamental matrix is a key problem in computer vision. This paper proposed a nonlinear method to esti-mate it based on Errors-in-Variables (EV) model. After setting up the EV model,this paper adopted nonlinear object function,and estimated both parameters in the model and measurement errors. Besides,this method also considered normalized coordinates and the rank 2 constraint of the fundamental matrix. Experiments of stimulated data and real images show that this method significantly in-creases the accuracy of estimation.
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/5758
Collection光电信息技术研究室
Corresponding Author侯庭波
Affiliation1.中国科学院沈阳自动化研究所
2.中国科学院研究生院
Recommended Citation
GB/T 7714
侯庭波,朱枫,史泽林. 基于变量含误差模型估计基础矩阵[J]. 微计算机信息,2008,24(12):199-201.
APA 侯庭波,朱枫,&史泽林.(2008).基于变量含误差模型估计基础矩阵.微计算机信息,24(12),199-201.
MLA 侯庭波,et al."基于变量含误差模型估计基础矩阵".微计算机信息 24.12(2008):199-201.
Files in This Item: Download All
File Name/Size DocType Version Access License
WJSJ200812082.pdf(348KB) 开放获取CC BY-NC-SAView Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[侯庭波]'s Articles
[朱枫]'s Articles
[史泽林]'s Articles
Baidu academic
Similar articles in Baidu academic
[侯庭波]'s Articles
[朱枫]'s Articles
[史泽林]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[侯庭波]'s Articles
[朱枫]'s Articles
[史泽林]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: WJSJ200812082.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.