[1]王雅宁[],梁新刚[]. 基于交互式图像分割的立体匹配方法[J].计算机技术与发展,2016,26(09):163-166.
 WANG Ya-ning[],LIANG Xin-gang[]. A Stereo Matching Method Based on Interactive Image Segmentation[J].,2016,26(09):163-166.
点击复制

 基于交互式图像分割的立体匹配方法()
分享到:

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

卷:
26
期数:
2016年09期
页码:
163-166
栏目:
智能、算法、系统工程
出版日期:
2016-09-10

文章信息/Info

Title:
 A Stereo Matching Method Based on Interactive Image Segmentation
文章编号:
1673-629X(2016)09-0163-04
作者:
 王雅宁[1]梁新刚[2]
 1.现代教学技术教育部重点实验室;2.陕西师范大学 计算机科学学院
Author(s):
 WANG Ya-ning[1]LIANG Xin-gang[2]
关键词:
 立体匹配图割算法交互图像分割
Keywords:
 stereo matchinggraph cutsinteractionimage segmentation
分类号:
TP391.4
文献标志码:
A
摘要:
 立体匹配技术是三维重建系统以及非接触测量的关键步骤,在计算机视觉领域应用广泛。传统基于全局最优的立体匹配方法计算量大,算法框架复杂,通过引入图像分割等手段可以有效降低立体匹配的运算量。为了克服传统基于分割的立体匹配方法没有充分利用分割信息的缺点,提出了一种融合交互式图像分割的立体匹配方法。该方法通过引入用户交互,设置种子点并用快速图割算法完成感兴趣区域的分割提取,由分割模板建立网络图,进行立体匹配。由于仅针对分割区域构建网络图,充分利用网络图信息降低了运算量,因此,和现有的对整幅图像进行立体匹配方法相比,具有匹配准确、运算量小等优点,并通过实验进行了验证。
Abstract:
 Stereo matching technology is the key step in 3D-reconstruction system and non-contact measurement,which has a wide range of applications in computer vision. The traditional stereo matching method based on global optimization is of large computation quantity, and the framework of its algorithm is very complex. By using the method of image segmentation,it can effectively reduce the amount of computation. In order to overcome the disadvantage that traditional method cannot make use of the information of segmentation,a stereo matching method integrated human-computer interaction image segmentation is presented. Introducing the user interaction and setting the seeds,the Region Of Interest ( ROI) segmentation area is obtained by a fast graph cuts algorithm. Then the stereo matching is realized based on the network map which is constructed from the segmentation template. Compared with existing stereo matching methods, the method proposed has more accurate and less computational cost,which is verified by experiment.

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]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.
[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,(09):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,(09):70.
[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.
[11]洪磊[],嵇保健[],洪峰[]. 一种基于亚像素角点的 SIFT 立体匹配算法研究[J].计算机技术与发展,2016,26(01):48.
 HONG Lei[],JI Bao-jian[],HONG Feng[]. Research on a SIFT Stereo Matching Algorithm Based on Sub-pixel Corners[J].,2016,26(09):48.

更新日期/Last Update: 2016-10-26