摘要
图像均匀匹配是双目立体视觉领域研究的重点。本文用SIFT特征匹配算法处理立体匹配,并利用构造圆环形窗口以及12维向量表示一个特征点的方法,既保持SIFT算法的尺度不变性,又有效降低了算法的复杂度,提高了算法实时性。
hnage matching is a crucial point in the study of human stereo vision. The simplified SIFT feature matching algontban is used to deal with this problem in this paper, who describes an interest point in an annular window, with a twelve dimension vector. This simplification not only keeps the scale invariance of the SIFT algorithm, but also reduces its complexity and improves the real-rime performance of the original.
出处
《计算机与网络》
2011年第11期70-72,共3页
Computer & Network
关键词
尺度不变特征
立体视觉
特征匹配
scale invariant feature
stereo vision
feature matching
