搜索资源列表
ransac_new
- ransac，随机抽样一致性算法，应用在图像处理特征点匹配中。-ransac, random sample of the consistency algorithm used in image processing feature point matching.
RANSAC
- 随机抽样一致性算法 它是从一个观察数据集合中，估计模型参数（模型拟合）的迭代方法。-Random consistency algorithm is an observation from the data set, the estimated model parameters (model fitting) the iterative method.
RANSAC
- 随机抽样一致性算法，在含有噪声点的样本中，寻找拟合直线-Random consistency algorithm in noisy point samples, looking for straight line fitting
RansacLine
- RANSAC随机采样一致性算法 最轻大的拟合直线算法-RANSAC random sampling, the algorithm of consistency light fitting line algorithm
Ransac
- 随机抽样一致性算法，用于在一群样本中去掉噪声样本，得到有效的样本-RANSAC algorithm is used to remove noise sample group of samples, the effective sample
RANSAC
- 随机采用一致性算法确定模型参数，此处采用的是最简单的直线模型-The RANdom SAmple Consensus algorithm to determine the model parameters used here is the most simple linear model
08measure
- 基于随机抽样一致性算法的运动平面上点的视觉测量及其应用 -RANSAC based visual measurement of point on ground plane and application in sport
chongmatch
- 该匹配算法是用surf特征点和随机一致性算法共同完成的，精度高，可靠性好。代码是OpenCV，C++写的 效果不错。-The matching algorithm is surf feature points and random consistency algorithm together to complete, high precision, good reliability. Code is OpenCV, C++ write
ransac
- ransac直线拟合，matlab实现，随机抽样一致性算法。-ransac line fitting
Ktime
- 基于多智能体的一致性算法，包括连续，和离散的一致性算法。-Consistency algorithm based on multi-agent, including continuous, and the consistency of the discrete algorithm.
ImageMatch
- 实现两幅图像的拼接，计算单应性矩阵，通过随机抽样一致性算法-Achieve two image stitching, calculate homography, by random sampling consensus algorithm
RANSAC
- 随机采样一致性算法，能够从大量点云数据里提取出最优平面，而且速度较快。-RANSAC algorithm, can extract the optimal plane a large number of point cloud data, and the speed is fast.
Consistency-between-muscle-cPP
- 使用C语言进行肌间一致性算法编程，经过测试，效果很好-For consistency between muscle algorithm using C language programming, through the test, the effect is very good
PCLCode
- PCL课本全章源码的，包含I/O,kd-tree,八叉树，可视化，滤波，深度图像，关键点。采样一致性算法，点云特征描述与提取，点云配准，点云分割，点云曲面重建-the code of book“Point Cloud Library”
SURFandRANSAC
- 本程序的功能是基于opencv库，用SURF提取特征，并保存描述子，再用随机抽样一致性算法剔除错误的匹配点，保存匹配好的点坐标，效果可以，你也可以换成SIFT或ORB来看效果。-This procedure is the function of feature extraction using SURF, and save the descr iptor matching points and random consistency al
laser-kinect-pointcloud-register-icp
- 针对三维重建中的点云配准问题，提出一种基于点云特征的自动配准算法。利用微软Kinect传感器采集物 体的多视角深度图像，提取目标区域并转化为三维点云。对点云进行滤波并估计快速点特征直方图特征，结合双向 快速近似最近邻搜索算法得到初始对应点集，并使用随机采样一致性算法确定最终对应点集。根据奇异值分解法 求出点云的变换矩阵初始值，在初始配准的基础上运用迭代最近点算法做精细配准。实验结果表明，该配准方法既 保证了三维点云的配准
RANSAC
- 自己开发的随机一致性算法,能去除外点，然后采用最新二乘法拟合曲线-RANSAC algorithm
continuous-time-algorithm
- 多智能体一致性算法，此算法通过交流多个机器人的位置信息，最终实现所有机器人位置的一致。-multi agent consensus algorithm this algorithm can make multi robots to be consensus.
circlenavigation
- 多智能体一致性算法，实现多机器人的共同做圆周运动，同时只需要知道邻居的速度信息-The multi-agent consistency algorithm realizes the multi robot s circular motion, and only needs to know the neighbor s speed information
segmentation
- 一维熵分割法将图像分割成目标和背景，并使目标和背景两部分的信息熵最大，则目标和背景内部的灰度值一致性最好，目标和背景的信息量最大。(One-dimensional entropy segmentation)