融合AD与Census变换的动态规划立体匹配与遮挡处理

针对传统动态规划立体匹配算法具有速度快的优点,但常伴随条纹现象的问题,设计了一种AD(absolute difference)与Census变换相融合的相似性测度算法,结合新的线性平滑项和动态变搜索半径的方法有效避免了上述问题,提高了匹配的速度和准确性.遮挡现象在双目视觉中难以避免,针对这一难题,采用左右一致性的遮挡检测算法对遮挡区域进行遮挡检测,设计了一种基于颜色和距离相似性的视差优化插值算法,改善了遮挡区域的视差估计.实验结果表明,该立体匹配算法能够快速、准确地估计出视差值,满足立体重构的需要. 

Stereo Matching and Occlusion Handling Based on Dynamic Programming Using AD and Census Transform

Stereo matching algorithm based on dynamic programming has the excellence of fast searching speed. But there are strip problem with it. In this paper, a method of similarity measure combined absolute difference(AD) with census transform algorithm was proposed, where a new linear smoothing term and dynamically changing search radius method were adopted. Speediness and accuracy of the matching method were improved. To avoid the occlusion phenomenon in binocular vision, a left-right check occlusion detection algorithm was used to detect occlusion region and a disparity optimization interpolation algorithm based on color and distance similarity was designed to improve the perform of disparity estimate. Experimental results show that the stereo matching algorithm can quickly and accurately estimate the disparity, and meet the needs of the three-dimensional reconstruction.