摘要
插值是三维重建的一个重要步骤。目前常用的直接灰度插值会使得图像边界模糊。针对这一问题,提出一种基于轮廓寻找匹配点的插值方法:首先对两幅图像进行形状插值,得到插值图像的轮廓;再根据轮廓寻找插值图像在两幅源图像上的对应点,并根据匹配准测,找到最佳匹配点;最后对匹配点的灰度进行插值,得到插值像素点的灰度值。试验结果表明,和已有的算法比较,新算法较好地提高了插值图像的质量。
Interpolation is one of the most important steps of the 3-D reconstruction. The linear interpolation will blur the object. In order to resolve this matter, this paper says a matching interpolation based on the contour： Firstly, the contour is got by the shape-based interpolation; Secondly, the corresponding pixels in both of the two original images are found, and then matching pairs are found according to the matching ruler. Thirdly, all pixels＇ gray values are acquired by the interpolation of the matching pairs. The experimental results show that the new method is better effective than the previous interpolation methods.
出处
《计算机与现代化》
2008年第7期62-65,共4页
Computer and Modernization
关键词
图像插值
三维重建
轮廓
匹配
interpolation
3-D reconstruction
contour
match
