.png){kind=icon}
返回
A new normalized method on line-based homography estimation
.png){kind=icon}
PRE
AI
DOI：10.1016/j.patrec.2008.01.031.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
It is a conventional belief that line-based approaches perform better than point-based ones for homography estimation, as the line-fitting is generally more noise resistant than point detection. In this note, we show that blithely using line-based estimation is a risky business. More specifically, we show that when the image line(s) is (are) passing through or close to the origin, the line-based homography estimation could become wildly unstable whereas the point-based estimation performs normally. To tackle this problem, a new normalized method specially designed for line-based homography estimation is proposed and validated by extensive experiments. (c) 2008 Elsevier B.V. All rights reserved.
Keyword:
point-based homography estimation
line-based homography estimation
visual metrology
data normalization
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.3
论文数:
8.0K
被引数:
1.6W
机构
引用论文
.png){kind=icon}
分享收藏
分享收藏Correlation between spinal cord MRI and clinical features in patients with demyelinating disease
PREAI
分享收藏分享收藏
没有更多内容
没有更多内容