基于多策略融合的亚像素精度立体匹配研究

ON SUB-PIXEL ACCURACY STEREO MATCHING BASED ON MULTI-STRATEGY INTEGRATION

为了减少亚像素立体匹配中存在的错误匹配以及提高匹配精度,提出基于多策略融合的亚像素精度立体匹配方法。通过以下三个步骤实现:原图像插值处理结合基于最小生成树代价聚集策略估计分数视差;给出新的视差搜索范围确定关系,减少匹配代价计算;在大片低纹理区域引入视差平面拟合细化视差,在亚像素精度上平滑,减少错误匹配。实验表明,算法有效地将匹配精度提高到亚像素级,同时减少了错误匹配。

To reduce the mismatching in stereo matching at sub-pixel level and to improve matching accuracy,we propose a multi-strategy integration-based sub-pixel accuracy stereo matching method. It is mainly implemented in the following three steps： the processing of original image interpolation in combination with estimating the fractional disparity by minimum spanning tree-based cost aggregation strategy; providing new disparity search scope to determine the relations and decreasing the matching cost computation; introducing disparity plane in a large area of low-textured regions to fit and refining the disparity,smoothing on the accuracy at sub-pixel level,and reducing mismatching. Experiments show that the algorithm can effectively improve the matching accuracy to sub-pixel level while reducing mismatching.