中文摘要：

基于图像视差的三维扫描技术中,计算样本外形需要从存在干扰的图像中寻找匹配对应点,提出一种镜像立体匹配改进算法,处理场景存在镜面的情况下物体和镜像的点点对应问题.新算法通过计算像素点与其邻域的灰度值之差,结合变权构建多维判别向量,通过判断物体空间和像空间中对应点的多维向量夹角的大小,来确定两个像素是否匹配.实验结果表明,相比传统的SAD,NSAD,SSD,NSSD立体匹配方法,新算法能够更好地处理有衰减模糊和色差的图像匹配问题,提高重现物体的几何外形精度.

英文摘要：

In the three-dimensional scanning technique based on image parallax,in order to calculate the shape of objects,it is required to match two points at different positions in images polluted by noises.An improved method for image matching was proposed to locate the object point and its corresponding image point in a mirror.By calculating the difference between the gray values of the pixel and its neighborhood,with a variable weight,by the algorithm a multidimensional discriminant vector was constructed and the angle between two discriminant vectors determines whether a pixel in object space matches another pixel in mirror space.The experiment results show that,compared with the traditional SAD,NSAD,SSD and NSSD,the algorithm is better to deal with the image matching problem involving the attenuation,fuzzy and chromatic aberration,and it is capable of improving the geometric shape precision of the reconstructed object.