[1]李竹林,许淳.基于梯度不变的彩色图像宽基线立体匹配方法[J].计算机技术与发展,2013,(03):65-68.
 LI Zhu-lin,XU Chun.A Stereo Matching Method for Color Image Wide Baseline Based on Gradient Invariant[J].,2013,(03):65-68.
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基于梯度不变的彩色图像宽基线立体匹配方法()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2013年03期
页码:
65-68
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
A Stereo Matching Method for Color Image Wide Baseline Based on Gradient Invariant
文章编号:
1673-629X(2013)03-0065-04
作者:
李竹林许淳
延安大学 计算机学院
Author(s):
LI Zhu-linXU Chun
关键词:
宽基线立体匹配梯度不变量
Keywords:
wide baselinestereo matchinggradient invariant
文献标志码:
A
摘要:
立体匹配技术是立体视觉研究领域中的关键技术之一,是三维重建的基础.文中提出了一种亮度在一定范围内梯度不变的彩色图像宽基线立体匹配方法.首先,利用SUSAN算子提取了角点,又利用了物体的物理属性确定了梯度不变的彩色图像的亮度范围,然后利用Mahalanobis距离确定初始对应点集,最后根据梯度视差剔除误匹配点,解决了彩色图像的宽基线对应问题.实验结果表明,该方法对一些亮度变化在一定范围内的图像匹配有很好的匹配效果,对三维重建工作具有一定的理论和应用价值
Abstract:
Stereo matching is one of key technologies for stereo vision,and is basis of 3D reconstruction. Propose a stereo matching meth-od for color image based on gradient invariant in certain photometric range. First,corner points are extracted using SUSAN operator,and photometric range is decided of color image with invariant gradient using physical properties of objects. Then the initial corresponding re-lationship is determined using Mahalanobis distance. Finally,the false matched points are eliminated by gradient disparity to resolve the correspondence problem of color image under wide baseline. The experiment results show the matching method has good effect for some color images within certain illumination range,and has theoretical and applied value for 3D reconstruction

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更新日期/Last Update: 1900-01-01