摘要
本文提出一适合立体视觉的并行匹配算法。算法以特征匹配为基础。所谓特征意指用各种大小的拉普拉斯——高斯算子检测的零交点。为获得视差的候选区间,算法在整个图象上计算视差直方图,以迭代的方法确定全部视差,并利用表面的局部估计——二次表面片和边界对深度点进行插补,从而得到完整的深度图。
This paper proposes a parallel matching algorithm for feature-based stereo vision. The algorithm is based on feature matching, and the so-called features mean zero-crossing points detected with various sizes of Laplacian of Gaussian operators. In order to obtain candidate intervals of disparity, the disparity histogram is computed all over the image. A series of processes are performed iteratively to determine all disparities. The depth pointsare interpolated to obtain a complete depth map using the local estimates of the surfacequadratic patches and edges.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1991年第1期32-36,59,共6页
Acta Electronica Sinica
基金
国家自然科学基金
