资源列表
二值图像分组
- 基于c++的二值图像分组。一次小练手，为后面的学习做一些基本的准备。(binary image grouping)
RANSAC
- RANSAC算法经常用于计算机视觉中。例如，在立体视觉领域中同时解决一对相机的匹配点问题及基本矩阵的计算。(RANSAC algorithms are often used in computer vision. For example, in the field of stereoscopic vision, a matching problem of a pair of cameras and a calculation of a basic matrix are simultaneousl
三帧差法运动目标检测
- 基本的三帧差法进行运动目标的检测，可以在VS里完美的运行，是一个很好的学习案例(this is motiondetect algorithm called three frame difference method.You can use it as a studying case.)
img_show
- pil,matplotlib,opencv三种方式显示图像,封装成函数,输入参数为np.array或者文件路径,包含了显示的图片文件(PIL, Matplotlib, opencv, the three ways of displaying images, encapsulated into functions, input parameters to np.array or file paths, including the displayed picture files)
空间后方交会-空间前方交会
- 利用已知控制点，通过空间后方交会求得像片的外方位元素，并利用求得的外方位元素，通过前方交会求出像点的地面摄影测量坐标，并判断外方位元素的精度是否达标。(By using the known control points, the exterior orientation elements of the photo are obtained through the space resection. The ground photogrammetric coordinates of the imag
RBM-Matlab-master
- Training set for DNN
1
- 图像去雾可以还原图像的颜色和能见度，同时也能利用雾的浓度来估计物体的距离，这些在计算机视觉上都有重要应用(Image Fog can restore the color and visibility of the image, but also can use the concentration of the fog to estimate the distance of the object, which have important applications in computer visi
Backprojection for Synthetic Aperture Radar
- 学习反向投影算法的SAR成像论文，介绍的非常详细，能够根据内容编写出程序来(A good thesis for study of backprojection algorithm in synthetic aperture radar imaging. One can program with matlab from the descr iption in this thesis)
CImg_latest
- 很好的图像处理库，能兼容windows、linux、unix等多种平台(Good image processing library, compatible with many platforms, such as windows, Linux, UNIX, etc.)
GWXFaceRec
- 单目摄像头，实时在线实现人脸检测功能，使用openCV。(single camera,release the function of face recongise)
作业5
- 理解频域处理与空间域处理的等效关系与步骤，掌握频域相乘与空间域循环卷积之间的对等关系，理解DFT运算中补零的效果。(Understand the equivalent relationship and steps of frequency domain processing and space domain processing, understand the reciprocal relationship between frequency domain multiplication and
作业4
- 理解图像空间滤波的实现步骤，掌握平滑、锐化两类空间滤波的区别，了解线性与非线性滤波差别(Understand the realization steps of image spatial filtering, grasp the difference between smoothing and sharpening two types of spatial filtering, and understand the difference between linear and non-linear