[1]王瑞 杨润泽 尹晓春.一种改进的立体像对密集点匹配算法[J].计算机技术与发展,2011,(09):70-72.
　WANG Rui,YANG Run-ze,YIN Xiao-chun.A Modified Image Dense Stereo Matching Algorithm[J].,2011,(09):70-72.
点击复制

一种改进的立体像对密集点匹配算法()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2011年09期
页码:
70-72
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
A Modified Image Dense Stereo Matching Algorithm
文章编号:
1673-629X（2011）09-0070-03
作者:
王瑞 杨润泽 尹晓春
军械工程学院机械制造教研室
Author(s):
WANG Rui; YANG Run-ze; YIN Xiao-chun
Mechanical Manufacturing and Automation Lab,Ordnance Engineering College
关键词:
双目立体视觉; 立体匹配; 细节平滑; 密集点匹配
Keywords:
binocular stereo vision;  stereo matching;  details of the smoothing;  dense point matching
分类号:
TP391
文献标志码:
A
摘要:
文中研究在随机光场照射下基于窗口的密集点匹配算法。针对基于窗口匹配中出现的细节平滑问题,提出了在窗口内对像素点引入权值参数来提高细节部分测量精度的方法。在匹配前对图像进行校正,使得各极线和图像坐标系的横轴平行,在匹配过程中不需要再计算极线方程,大大提高了匹配的效率。根据待匹配图像的灰度信息和摄像机的内外参数信息,通过求解对应窗口内像素点向量夹角的方式进行双目立体匹配。在试验中,完成了棋盘格图像的密集点匹配,并与典型区域匹配算法进行了匹配效率与视差图效果的对比分析,验证了文中算法在匹配效率和视差图效果方面的优越性
Abstract:
It studies the random field irradiation window-based dense point matching algorithm.Matching based on window appears for the details of a smooth problem,a pixel in the window on the introduction of weighting parameters to improve the details of the part of the measurement accuracy.Correct the image before the match,making the polar coordinate system parallel to the horizontal axis,in the matching process does not require re-calculation of polar equation,greatly improving the efficiency of matching.According to the grayscale information and the camera parameter information inside and outside,by solving the corresponding pixel angle within the window between vectors conduct stereo matching.In the study,completed an intensive checkerboard image point matching and compared with the typical area of the matching algorithm efficiency and effectiveness of disparity map,verify the superiority of the algorithm in matching efficiency and effect of disparity map

相似文献/References:

[1]王建文 王敏.基于双目立体视觉的鞋楦三维建模[J].计算机技术与发展,2009,(04):224.
　WANG Jian-wen,WANG Min.3D Reconstruction of Shoe- last Based on Binocular Stereo Vision[J].,2009,(09):224.
[2]方恒 吴怀宇.基于MRF和颜色空间的立体图像匹配算法[J].计算机技术与发展,2008,(12):28.
　FANG Heng,WU Huai-yu.Stereo Matching Based on MRF and Color Space[J].,2008,(09):28.
[3]印勇 张建华.基于三角形网格的浓密视差图提取[J].计算机技术与发展,2007,(11):52.
　YIN Yong,ZHANG Jian-hua.Dense Disparity Map Extraction Based on Triangulation Mesh[J].,2007,(09):52.
[4]何海 汤春林 孙华燕.双目立体视觉在模型姿态监测中的应用研究[J].计算机技术与发展,2006,(11):238.
　HE Hai,TANG Chun-lin,SUN Hua-yan.Application of Binocular Stereo Vision in Model Carriage Measure[J].,2006,(09):238.
[5]毛雁明 杨慧玲.一种新的立体匹配算法[J].计算机技术与发展,2011,(03):105.
　MAO Yan-ming,YANG Hui-ling.A New Stereo Matching Algorithm[J].,2011,(09):105.
[6]周春燕 贾渊.基于遗传算法的图像配准研究及改进[J].计算机技术与发展,2011,(08):46.
　ZHOU Chun-yan,JIA Yuan.Research and Improvement of Image Registration Based on Genetic Algorithm[J].,2011,(09):46.
[7]袁力 张怡 丁丽君.基于加权匹配代价的初始视差估计算法[J].计算机技术与发展,2011,(10):36.
　YUAN Li,ZHANG Yi,DING Li-jun.Initial Disparity Estimation Algorithm Based on Weighted Matching Cost[J].,2011,(09):36.
[8]陈佳坤 罗谦 曾玉林.一种用于立体图像匹配的改进稀疏匹配算法[J].计算机技术与发展,2011,(10):63.
　CHEN Jia-kun,LUO Qian,ZENG Yu-lin.An Improved Sparse Matching Algorithm for Stereo Matching[J].,2011,(09):63.
[9]王兴昌 李炜 刘政怡 郭星.基于双密度双树复小波的立体匹配[J].计算机技术与发展,2012,(10):91.
　WANG Xing-chang,LI Wei,LIU Zheng-yi,et al.Stereo Matching Based on Double-density Dual-tree Complex Wavelet Transform[J].,2012,(09):91.
[10]汪瑶 徐杜 蒋永平 卢传泽.双目视觉小波域SIFT匹配与极线约束算法研究[J].计算机技术与发展,2012,(11):81.
　WANG Yao,XU Du,JIANG Yong-ping,et al.Study on Combined Wavelet-SIFT Matching and Epipolar Constraint Algorithm for Binocular Stereo Vision[J].,2012,(09):81.

备注/Memo

备注/Memo:
军械工程学院基础部科学研究基金（JCB1011）王瑞（1986-），男，硕士研究生，研究方向为三维重构；杨润泽，教授，硕士生导师，研究方向为机械制造及自动化
更新日期/Last Update: 1900-01-01