1) Multi-polar coordinate transformation
多极坐标变换
2) polar transformation
极坐标变换
1.
First, the curvilinear integral is simplified by making use of polar transformation, and then some results are given with various n and L.
首先利用极坐标变换将曲线积分化简,然后对n、L不同情况给出相应结果。
3) transformation of polar coordinates
极坐标变换
1.
First,a theorem of requesting double limit with transformation of polar coordinates and some deductions are presented.
运用上、下确界和极坐标变换,化二元函数的重极限的判断和求解为一元函数极限的判断和求解,得到了用极坐标变换求解二重极限的一个定理和一些推论,并推广到用n维球坐标变换求n重极限。
4) log-polar transform
对数极坐标变换
1.
Mutual information image registration based on log-polar transform
对数极坐标变换域下互信息图像配准方法
2.
The log-polar transform (LPT) is utilized and an anti-rotation and anti-scale image matching algorithm is proposed based on the image edge feature point extraction.
在惯性导航系统中,定量分析了景象匹配过程中惯性导航系统漂移和无线电气压高度表测量误差对实测图的旋转和尺度所造成的影响,引入了对数极坐标变换。
3.
Secondly,by using the scaling and rotation invariance of log-polar transform,the changes of object scale and rotation are converted into transformation in orthogonal coordinate;.
该算法首先在当前帧对应位置进行降分辨率处理,并以基于增量试探的meanshift跟踪算法收敛点作为当前帧目标中心位置,进而利用对数极坐标变换的旋转、尺度不变性,对目标和候选目标分别进行对数极坐标映射,并通过求取最大归一化相关函数确定目标的尺度变化。
5) Log-polar transformation
对数极坐标变换
1.
This paper presents a fast log-polar transformation(LPT) algorithm,which speeds up processing from Cartesian coordinates to log-polar coordinates as well as speeding up image matching by using a dual-axis projection algorithm.
针对这一问题,提出了一种快速对数极坐标变换算法,加快了从笛卡儿坐标转换到对数极坐标的过程。
2.
The proposed algorithm is as follows:SUSAN algorithm used to obtain the feature corner points(interesting points) of the two images;log-polar transformation and projection correlation matching algorithm used to acquire the registration parameter of the two images.
算法首先使用SUSAN算子提取两幅图像的特征角点,然后使用对数极坐标变换和投影相关匹配算法实现特征点匹配。
6) polar-log coordinate transform
极对数坐标变换
补充资料：坐标变换
同一点在两个不同的坐标系中的两种坐标之间的变换。如直角坐标之间的平移变换和旋转变换，直角坐标与极坐标之间的变换等。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条