Implementation of scene matching based on rotation invariant keylines

ZHANG Ye; QU Hong-song; WANG Yan-jie

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Implementation of scene matching based on rotation invariant keylines

Article | 更新时间：2020-08-12

- Implementation of scene matching based on rotation invariant keylines
- Optics and Precision Engineering Vol. 17, Issue 7, Pages: 1759-1765(2009)
- 作者机构：
  
  中国科学院长春光学精密机械与物理研究所,吉林长春,中国,130033
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.4
- Received：28 July 2008，
  
  Revised：08 October 2008，
  
  Published Online：25 July 2009，
  
  Published：25 July 2009
- 稿件说明：
移动端阅览
张叶, 曲宏松, 王延杰. 运用旋转无关特征线实现景象匹配[J]. 光学精密工程, 2009,17(7): 1759-1765

ZHANG Ye, QU Hong-song, WANG Yan-jie. Implementation of scene matching based on rotation invariant keylines[J]. Editorial Office of Optics and Precision Engineering, 2009,17(7): 1759-1765
张叶, 曲宏松, 王延杰. 运用旋转无关特征线实现景象匹配[J]. 光学精密工程, 2009,17(7): 1759-1765 DOI：

ZHANG Ye, QU Hong-song, WANG Yan-jie. Implementation of scene matching based on rotation invariant keylines[J]. Editorial Office of Optics and Precision Engineering, 2009,17(7): 1759-1765 DOI：

摘要

为了寻求一种高效可靠的景象匹配算法

使其在复杂背景下具有尺度无关

抗旋转、光照变化和图像轻微畸变的特性

对基于特征线的景象匹配算法进行了研究。受人眼视觉系统(HVS)的启发

利用类似人眼视觉皮层滤波器组的处理方式

提出一种新的基于特征线的景象匹配方法。该方法利用向量描述特征线来完成图像间的匹配

相比特征点的匹配算法具有特征数量少

信息丰富的特点。介绍了利用提出的方法进行特征线的提取、表征与匹配的过程

总结了该匹配方法的效果和特点。实验表明

这种基于特征线的景象匹配算法可以完成复杂背景下图像间的匹配

克服了旋转和尺度缩放

并具有很好的鲁棒性

匹配精度优于1 pixel

满足了自动景象匹配的稳定可靠、精度高、抗干扰能力强等要求。

Abstract

In order to provide a robust scene matching algorithm with the scale and rotation invariance and less influence by different illumination under complex conditions

this paper researches scene matching techniques based on key lines. Inspired by the Human Visual System (HVS)

a new scene matching method based on key lines is put forward by using a set of filters that are the same processing models as the human cortex filter.The mathod uses the vectors to describe key lines to implement the metching between the two images and is characterized by less numbers of key line and great information as compared with that of a point matching method. It introduces the extraction

expression and matching lines and gives the simulation results and matching properties. Experiment results show that the proposed method works well for the condition of rotating and scaling

and can offer the precision of scene matching of 1 pixel

which meets the requirements of high stability and good robust for complex background scene matching.

关键词

Keywords

references

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Related Author

JI Hua

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Related Institution

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China

Graduate University of Chinese Academy of Sciences, Beijing 100039, China

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