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基于区域增长的自适应窗口立体匹配算法
引用本文:罗三定,陈海波. 基于区域增长的自适应窗口立体匹配算法[J]. 中南大学学报(自然科学版), 2005, 36(6): 1042-1047
作者姓名:罗三定  陈海波
作者单位:中南大学,信息科学与工程学院,湖南,长沙,410083
基金项目:国际海底区域研究开发“十五”基金资助项目(DY-105-03-02-06)
摘    要:针对基于区域的立体匹配算法支持窗口难以选择的问题, 提出一种新的自适应窗口区域立体匹配算法. 该区域增长的方法可以动态地获得形状和大小均具有自适应特性的支持窗口, 并通过区域视差范围估计、核心窗口视差近似、动态搜索步距调整等方法使算法得到改进. 研究结果表明: 该算法对于视差不连续和遮挡区域都有着良好的适应性;采用该算法获得的视差图像的准确度高达95%, 且计算时间缩短到5 s以内.

关 键 词:立体匹配  自适应窗口  视差估计  动态伸缩  边界约束
文章编号:1672-7207(2005)06-1042-06
收稿时间:2005-03-01
修稿时间:2005-03-01

Stereo matching algorithm of adaptive window based on region growing
LUO San-ding,CHEN Hai-bo. Stereo matching algorithm of adaptive window based on region growing[J]. Journal of Central South University:Science and Technology, 2005, 36(6): 1042-1047
Authors:LUO San-ding  CHEN Hai-bo
Affiliation:School of Information Science and Engineering, Central South University, Changsha 410083, China
Abstract:Aimed at the supported windows selected difficultly in stereo matching algorithm based on local areas, a new stereo matching algorithm of adaptive windows via region growing was proposed. This region growing method can offer appropriate shape and size of supported windows adaptively. In addition, this algorithm is improved by estimating the scope of disparity, approximating the disparity of the core window, adjusting the step dynamically. The results show that this algorithm has good adaptability in discontinuous and occlude areas. It can offer robust disparity estimation image using this algorithm. The precision of the algorithm is more than 95 %, and its calculating time is less than 5 s.
Keywords:stereo matching   adaptive window   disparity estimation   dynamic expanding and contracting   edge restriction
本文献已被 CNKI 维普 万方数据 等数据库收录!
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