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积木效果显示图像

用于产生离散高斯函数的Matlab源代码。(Discrete Gaussian function used to produce the Matlab source code.)

改程序是用来行人检测的，有源代码，可以轻松学习并参考。(The reform program is used for pedestrian detection, source code, you can easily learn and reference.)

This DataEntryFilter filters data entries based on whether their names match a given StringMatcher.

四个IMAGE窗口，分别对图像进行读取，最大值滤波，最小值滤波及中值滤波。(Four IMAGE window, read the image, respectively, maximum filter, the minimum filter and median filter.)

desing and develop a cube rotation

说明：  这个程序可以用于两个图像的拼接，通过寻找特征点完成拼接(This program can be used to stitch two images and complete the stitching by finding feature points.)

VC++开发的遥感影像拼接程序，两张示例图像，实现拼接线平滑的拼接算法。(VC++ development of remote sensing image mosaic program, two sample images to achieve a smooth stitching thread stitching algorithm.)

利用彩色图像的处理方法和数学形态学方法，编程计算荔枝果实的质心点的图像坐标(The use of color image processing method and mathematical morphology, image coordinates programmed to calculate the centroid of litchi fruit points)

三维激光点云配准是点云三维建模的关键问题之一。经典的 ICP 算法对点云初始位置要求较高且配准 效率较低，提出了一种改进的 ICP 点云配准算法。该算法首先利用主成分分析法实现点云的初始配准，获得较好 的点云初始位置，然后在经典 ICP 算法的基础上，采用 k － d tree 结构实现加速搜索，并利用方向向量夹角阈值去除 错误点对，提高算法的效率。实验表明，本算法流程在保证配准精度的前提下，显著提高了配准效率。 (Three-dimensional laser point cloud registration is one of the key three-dimensional point cloud model. High classical ICP algorithm to the initial position of the point cloud registration requirements and low efficiency, proposed an improved ICP point cloud registration algorithm. Firstly, the use of principal component analysis of the initial point cloud registration, get a better initial position of the point cloud, then the basis of classical ICP algorithm using k- d tree structure to achieve speed up the search, and using the direction vector angle the removal of the threshold point error and improve the efficiency of the algorithm. Experiments show that the algorithm processes to ensure the accuracy of registration under the premise, significantly improve the efficiency of registration.)