Drawing 1. Design and Implementation of a graphics library, with the straight

上传各种格式图像文件打开保存旋转的操作示例工程所需要的两个头文件。-upload various image file format open to preserve the operation of rotating sample project needs two headers.

计算几何学的相关算法 可以根据这个函数确定两条线段在交点处的转向,比如确定p0 p1和p1 p2在p1处是左转还是右转，只要求(p2-p0)*(p1-p0)，若0则右转，=0则共线-geometry calculation of correlation algorithm can determine the function of the two segments to the intersection, such as identifying p0 p1 p1 and p2 p1 is the left or the right, only requirements (p2- p0)* (p1- p0), and if 0 right, a total = 0 line

主要是图像复原的实现，包括运动模糊图像复原和逆滤波、维纳滤波复原。-Mainly the realization of image restoration, including motion-blurred image restoration and inverse filtering, Wiener filtering restoration.

MultiScale Retinex 色彩恒常性的彩色图像增强算法-Color constancy MultiScale Retinex for Color Image Enhancement Algorithm

可以实现彩色，灰度图像的任意级别的DWT变换，其中变换层数由用户自己指定。-Can achieve color, gray-scale images of arbitrary level DWT transformation, which transforms layers specified by the user.

图像旋转的c++程序,该程序是我从其他网站看到的，觉得对学习图形图像的人，应该有所帮助-image rotation c procedures, the procedures are taken from other sites to see, study and think of graphic images, should help

改变屏幕分辨率,非常好用,请大家共享,共同提高-change the screen resolution, very handy, please share, enhance

利用OpenCV和VC++软件，根据SIFT特征提取算法提取图像中的SIFT特征点，并绘制出SIFT特征向量-OpenCV and VC++ using the software, according to SIFT feature extraction algorithm for extracting the image of the SIFT feature points, and draw out the SIFT feature vectors

数字图像处理的基本程序 vc++编的 取指数 有实例图片-Digital image processing of the basic procedures of the vc++ for example check index picture

实现了1D,2D,3D空间自由度下的运动参数的扩展Kalman滤波算法，文章2008 IROS Visual SLAM for 3D Large-Scale Seabed Acquisition Employing Underwater Vehicles的具体实现。-a novel technique to align partial 3D reconstructions of the seabed acquired by a stereo camera mounted on an autonomous underwater vehicle. Vehicle localization and seabed mapping is performed simultaneously by means of an Extended Kalman Filter. Passive landmarks are detected on the images and characterized considering 2D and 3D features. Landmarks are re-observed while the robot is navigating and data association becomes easier but robust. Once the survey is completed, vehicle trajectory is smoothed by a Rauch-Tung-Striebel filter obtaining an even better alignment of the 3D views and yet a large-scale acquisition of the seabed.