摘要
SURF(Speeded Up Robust Features)算子,由于其快速、鲁棒性等特点,可以很好地解决图片尺度、旋转、光照等不一致的情况,已被广泛应用于各种图像配准和拼接中。通过对每一幅图片进行SURF特征提取,获取其特征向量,然后再采用柱面坐标系变换方法实现对多幅图片的拼接。实验结果表明该方法实现简单,运算量小,拼接效果较好。
SURF（Speeded Up Robust Features） operator can be a good solution to solve image scale, rotation and illumination invariance for its good rapid and robustness, it has widely used in many kinds of image registration and stitching. The feature vectors of the images are extracted by SURF operator, with cylindrical projection the images project to a unified geometric space, then we can the image stitching operation is finished. The experimental results show that the algorithm is simple to implement with less computing and of good stitching effect.
出处
《信息技术》
2013年第3期104-106,110,共4页
Information Technology
关键词
特征提取
SURF
柱面坐标
拼接
feature extraction
SURF
cylindrical coordinate
stitching
