摘要
图像匹配是视频处理中的一项关键技术。针对SIFT算法的关键点描述符在匹配性能和匹配效率上的不足,采用建立图像金字塔之前,利用立方插值算法对原始图像进行有效缩放。然后利用降低金字塔层数的思想来构造关键点描述符,使得最后构造出来的描述符更加精确。算法的匹配性能和匹配效率都得到了明显的改进。
Matches on two images that belong to the same scene are the important step process of the eo. In the resealvh of exlt'acting a dynamic scene feature, in view of the matching efficiency and performance defi- ciencies of the SIFT key points descriptors, hefore construct octaves of scale space that repeatedly convolved with Gaussians, cubic interpolation is used to reduce original image efficiency, and then the octaves of scale space are decreased. The advantages of them are on the use widely in many practical areas and obviously improved matching efficiency and performance.
出处
《科学技术与工程》
北大核心
2012年第29期7749-7753,共5页
Science Technology and Engineering