A novel gradient orientation histogram was built using a Gaussian-weighted circular window and a major orientation to each feature point was assigned based on local image properties.
构建了一种新的局部梯度方向直方图，同时定义了特征点的主方向，从而提出了一种具有旋转不变性的图像配准算法。
A simplified algorithm based on SIFT (SSIFT) is developed to express a feature point with only 12 dimensions based on a circular window to improve the efficiency of matching.
为了提高匹配速度，介绍了一种基于SIFT的简化算法(SSIFT)，采用基于圆形窗口的12维向量有效地表示一个特征点。
应用推荐