搜索资源列表
heibaidian
- 设平面上分布着n个白点和n个黑点,每个点用一对坐标(x, y)表示。一个黑点b=(xb,yb)支配一个白点w=(xw, yw)当且仅当xb>=xw和yb>=yw。若黑点b支配白点w,则黑点b和白点w可匹配(可形成一个匹配对)。在一个黑点最多只能与一个白点匹配,一个白点最多只能与一个黑点匹配的前提下,求n个白点和n个黑点的最大匹配对数。
RANSAC
- RANSAC,随即抽样一致性,用于匹配和去除野点,很有效很著名-RANSAC,RANdom SAmple Consensus,for matching, effictive and famous
zuixiaoerchengdiedai
- 这是最小二乘迭代算法,能够实现匹配时的同名点反复迭代,提高匹配精度-This is the least-squares iterative algorithm that can achieve the same title match point when repeated iteration to improve the matching accuracy
1126467445657478b
- 点匹配法在fortran环境下的程序,希望对大家有帮助!-Point matching method in fortran program environment, we want to help!
ICP-matlab
- 迭代最邻近点算法: 计算两组点云之间的最佳匹配效果-Iterative closest point (ICP) algorithm: seaching the best overlapping result of two point clouds
samePointMatch
- 从两幅图中找到相匹配的点的程序,可以调整搜索范围-failed to translate
closestPair
- 源程序实现最近匹配算法,从众多点中找到一对举例最近的点。-Look for the closest pair
sift_match(Qt)
- SIFT(Scale-invariant feature transform)是一种检测局部特征的算法,该算法通过求一幅图中的特征点(interest points,or corner points)及其有关scale 和 orientation 的描述子得到特征并进行图像特征点匹配,获得了良好效果.-SIFT (Scale-invariant feature transform) is a local feature detection algorithm by finding a pictu
registration
- point cloud 点云配准计算,通过选择几组匹配的点云数据对对点云数据进行配准处理-point cloud point cloud registration computing, by selecting a set of match point cloud data point cloud data registration process
tenqui_v11
- 表示出两帧图像间各个像素点的相对情况,matlab编写的元胞自动机,粒子图像分割及匹配均为自行编制的子例程。- Between two images showing the relative circumstances of each pixel, matlab prepared cellular automata, Particle image segmentation and matching subroutines themselves are prepared.
guiqei_v79
- 粒子图像分割及匹配均为自行编制的子例程,表示出两帧图像间各个像素点的相对情况,该函数用来计算任意函数的一阶偏导数(数值方法)。- Particle image segmentation and matching subroutines themselves are prepared, Between two images showing the relative circumstances of each pixel, This function is used to calculate the