[1]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):36-38.
 YUAN Li,ZHANG Yi,DING Li-jun.Initial Disparity Estimation Algorithm Based on Weighted Matching Cost[J].,2011,(10):36-38.
点击复制

基于加权匹配代价的初始视差估计算法()
分享到:

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

卷:
期数:
2011年10期
页码:
36-38
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Initial Disparity Estimation Algorithm Based on Weighted Matching Cost
文章编号:
1673-629X(2011)10-0036-03
作者:
袁力1 张怡2 丁丽君1
[1]天津大学软件学院[2]天津大学计算机学院
Author(s):
YUAN Li ZHANG Yi DING Li-jun
[1]School of Software, Tianjin University[2]School of Computer, Tianjin University
关键词:
立体匹配匹配代价可信传播视差
Keywords:
stereo matching matching cost belief propagation disparity map
分类号:
TP391.4
文献标志码:
A
摘要:
随着计算机图形学的发展,立体匹配技术已经成为三维场景恢复中一项重要的手段,视差估计是立体匹配中的关键基础技术。为了能够更好进行三维场景恢复,改善视差的工作便迫在眉睫。主要研究了在基于模板的可信传播立体匹配算法中改善视差初始值的算法:通过引入梯度差算子与绝对差和算子加权的匹配代价,运用交叉检验估计及WTA优化初始视差矩阵,进而提高初始视差值的准确性,从而改善最终的视差结果。经实验证明,本方法能够很有效地去除噪点,进而获得较高质量的视差结果
Abstract:
With the development of computer vision, stereo matching has become a very significant tool in three-dimensional scene recovery. Disparity estimation is fundamental technique in stereo vision. In order to improve the three-dimensional scene recovery, raising the accuracy of the disparity is very necessary. It mainly studies a method to improve the initial value of the parallax in stereo matching using belief propagation. Focus on improving the accuracy of the initial disparity by introducing a new matching cost which is weighted by absolute differences of gradient and sum of squared differences, applying the cross checking method to estimate the disparity matrix and optimizing it with the WTA. Experimental results show that the approach reduces noises efficiently and gets refined 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,(10):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,(10):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,(10):52.
[4]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,(10):105.
[5]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,(10):46.
[6]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.
 WANG Rui,YANG Run-ze,YIN Xiao-chun.A Modified Image Dense Stereo Matching Algorithm[J].,2011,(10):70.
[7]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,(10):63.
[8]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,(10):91.
[9]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,(10):81.
[10]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.
 LI Zhu-lin,XU Chun.A Stereo Matching Method for Color Image Wide Baseline Based on Gradient Invariant[J].,2013,(10):65.

备注/Memo

备注/Memo:
天津市科技支撑重点项目(10ZCKFGX00800,08ZCGYSF00401)袁力(1985-),女,硕士研究生,主要研究方向为图像检索、图像处理;张怡,博士,讲师,主要研究方向为图像处理、可视化技术
更新日期/Last Update: 1900-01-01