An Interest Point Detect Method to Stereo Images with Good Repeatability and Information Content

ZHU Qing; WU Bo; WAN Neng; XU Zhi-xiang; TIAN Yi-xiang

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An Interest Point Detect Method to Stereo Images with Good Repeatability and Information Content

更新时间：2025-07-16

- An Interest Point Detect Method to Stereo Images with Good Repeatability and Information Content
- Acta Electronica Sinica Vol. 34, Issue 2, Pages: 205-209(2006)
- 作者机构：
  
  武汉大学测绘遥感信息工程国家重点实验室,湖北,武汉,430079
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN919
- Published Online：25 February 2006，
  
  Published：2006
- 稿件说明：
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ZHU Qing, WU Bo, WAN Neng, et al. An Interest Point Detect Method to Stereo Images with Good Repeatability and Information Content[J]. Acta Electronica Sinica, 2006, 34(2): 205-209.
DOI：

ZHU Qing, WU Bo, WAN Neng, et al. An Interest Point Detect Method to Stereo Images with Good Repeatability and Information Content[J]. Acta Electronica Sinica, 2006, 34(2): 205-209. DOI：

摘要

针对立体影像匹配问题

从重复率与信息量两个方面对现有几种主要的立体影像点特征提取算子进行了实验分析比较;根据影像的信息熵对影像特征进行聚类分析

提出了一种与影像特征相关的、基于Harris算子原理改进的点特征提取方法;选取不同特征的实际立体影像进行实验分析

证明本文提出的方法具有更优的重复率与信息量.

Abstract

For the purpose of stereo image matching

several common stereo image interest point detectors are reviewed in the two aspects of repeatability and information content through experimental analysis in this paper.Based on the image information entropy

clustering is utilized to analyse the texture feafures of images

and a new interest point detect method is then proposed.The most significant characteristic of this method

which improves the Harris detector

is self-adaptive to the image texture.The experiments by using of actual stereo images with different texture features proved that this method guarantees more better repeatability and information content.

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