摘要
为了解决倾斜表面或曲面的匹配问题,提出了一种基于图像分割块之间的几何约束和视差值的概率分布信息的视差估算方法.在一个全局能量函数中增加了图像分割块之间的几何约束项,通过计算匹配能量得到分割块的最优视差平面.为了确定可信像素和可信分割块,利用了视差的概率分布信息.同时,利用了分割块之间的几何约束和分割块内像素之间的约束来估计不可信像素点的视差值.用包含大视差范围、更多倾斜表面、曲面和弱纹理表面等典型图像对所建议的算法进行测试,实验结果表明,该方法对于存在倾斜表面和曲面的立体视差计算是有效的.
To handle the slanted or curved surfaces in stereo matching,the adjacent segment geometric constraint and the statistical information of disparity are adopted in a proposed algorithm.The segment geometric constraint is incorporated in a new global energy function to acquire the optimal plane of each segment.The statistical information of disparity is adopted to find the reliable disparity pixel and a reliable segment.The constraints between the segments and pixels are used to estimate the disparity of the unreliable pixels.Experiments are performed on the classical images with a larger disparity range,more slanted surfaces,and surface with less texture and show the effectiveness of the proposed algorithm.
出处
《软件学报》
EI
CSCD
北大核心
2010年第11期2985-2998,共14页
Journal of Software
基金
北京市重点学科建设规划项目~~
关键词
立体匹配
视差
倾斜表面
曲面
几何约束
统计信息
stereo matching； disparity； slanted surface； curved surface； geometric constraint； statistical information；
