连续过松弛边界接缝平滑高程亚像素视差分析  

High Altitude Sub-pixel Parallax Analysis with Successive Over-relaxation Boundary Seam Smooth

作　　者：金显华[1] 赵元庆[1] 

机构地区：[1]安阳师范学院软件学院,河南安阳455000

出　　处：《科技通报》2014年第8期155-157,共3页Bulletin of Science and Technology

基　　金：国家自然科学基金青年基金项目(41001251);河南省科技厅基础与前沿研究项目(112300410129);(112300410128)

摘　　要：高程亚像素级视差信息的提取是空中立体视觉成像的关键,传统的亚像素高程信息提取采用变分法的立体匹配与光流估计方法,产生遮挡、辐射差异和几何畸变,高程立体成像的边界接缝处理不理想。提出一种基于变分原理的高程图像亚像素级匹配方法,采用连续过松弛拟合的边界接缝平滑处理方法进行修正,像素视差函数分为整数级视差函数和亚像素级视差函数,实现航空高程拍摄图像的亚像素级视差分析和三维图像重建。仿真结果表明,采用该方法实现亚像素配准和图像恢复,精度较高,稳定性和鲁棒性较好,在高空探测、空地目标识别等领域具有很好的应用意义。The extraction of high altitude the sub-pixel disparity information is the key to aerial stereo imaging, the tradi-tional method takes the stereo matching and optical flow estimation method, and radiation difference and geometric distor-tion is occurred. High altitude stereo imaging boundary joint processing is not ideal. We present a novel method of high alti-tude image pixel level based on the variational principle, and the successive over-relaxation fitting boundary is modified joint smoothing method, pixel disparity function into integer disparity function and the sub-pixel disparity function, the re-alization of aviation high altitude photographed image sub-pixel reconstruction and 3D image reconstruction are obtained. The simulation results show that, using this method to achieve sub-pixel registration and image restoration, it has high pre-cision, good stability and robustness, and it is useful in field sounding, and space target recognition.

关 键 词：亚像素 高程信息 图像 视差 

分 类 号：TP391.9[自动化与计算机技术—计算机应用技术]