基于NSCT的SMP立体匹配算法研究

SMP Stereo Matching Based on Shift-Invariant NSCT

针对区域立体匹配算法中匹配窗口自适应选择的难点,提出一种基于多尺度分析Nonsubsampled Con-tourlet变换(NSCT)的快速区域立体匹配新算法.首先介绍NSCT并对其时移不变性进行讨论.采用由粗到精的匹配策略和快速的SMP匹配代价函数降低运算量.实验结果表明,该算法具有很高准确率.

One of the central problems in stereo matching is the selection of optimal window sizes for comparing image regions. This paper presents a fast and reliable multi-scale stereo matching algorithm based on the Nonsubsampled Contourelet Transform （NSCT）, which is a fully shift-invariant,multi-scale, and multi-direction expansion that has better directional frequency localization. This method consists of multiple passes which compute stereo matches with a coarse-to-fme and sparse-to-dense paradigm. Then, we using a fast local algorithm, referred to as single matching phase （SMP）, which reduce computation and is suitable to real time applications. The proposed approach is also compared with bidirectional matching （BM）, since the latter is the basic method for detecting unreliable matches in most area-based stereo algorithms. Experimental results with real images are presented.