Opencv image transform of line segment detection using hough transform

这是绘画bezier曲线的小程序。使用者可以从此处得知如何编写bezier曲线的程序。应用程序便是以c++编写绘成的bezier曲线-This is a Bezier curve drawing applet. From here the user can learn how to prepare the procedures for Bezier curves. Application is to c++ Are ready to prepare the Bezier curve

自己随便输入的数据自动生成等高线，算法完整，功能完善。-Not enter their own data to generate contour lines automatically, the algorithm complete, fully functional.

基于YCrcb肤色模型的人连检测系统.用VC++实现.还包括人脸、眼睛、嘴巴的定位分割。-YCrcb color model based on the long-detection system. With VC. Also including face, eyes, Segmentation mouth positioning.

vc++6.0环境下,图象的腐蚀，膨胀，细化算法实现源程序代码,已经经过测试.-vc 6.0 environment, the image of corrosion, expansion, refinement algorithm source code has been tested.

这只是在图形图像处理学中对经典的那几张图片进行一些简单的处理。-This is in the Graphics Processing images of the classic it for a few pictures of some simple processing.

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.

avi格式文件转换为图片文件。该文件可以自行选择bmp或jpg格式，然后将avi视频的每一帧转换为相应格式的图片。-this program can convert the frames of the avi objects to pictures.

Speed Up Robust Feature Algorithm by OpenCV it can detected specified image and matching I adjust it to use a cam so it runs in real time but I guess it doesn t look so fast

背景差分法（Frame difference）这种方法是基于前景和背景的不同场景，根据视频采集的背景信息获取更稳定的可信信息，计算前景中固定的背景像素差分，从而实现基于Su（pixel-based）和高端basic的融合区域（基于区域的）信息