RobotVision

直接线性变换DLT，直接由像平面坐标到地面空间坐标的直接变换，可用于量测相机，非量测相机（本人用的是 高速相机）。配合前方交会验证l系数的准确与否。以DLT得到的结果为初值，用光束法平差可以期望得到更高精度。是数字摄影测量课程作业的例子。(Direct linear transformation DLT, and the direct conversion of coordinates directly from the image plane to the ground space coordinates, the camera can be used for measuring the non-measurement camera (I use a high-speed camera). Tie the forward intersection verify l coefficient accurate or not. To the the DLT results obtained for the initial value, bundle adjustment can expect greater accuracy. Examples of digital photogrammetry course work.)

图像处理,图像去雨滴、尘土，达到图像恢复的效果，还原图像。(image derain)

该源码为目标检测和跟踪算法 包括： 1. 静态背景下的背景预测法目标检测 2. 静态背景下帧间差分法目标检测 3. Mean Shift目标跟踪方法 4. 重心多目标跟踪方法 (The source code for target detection and tracking algorithm include: 1 Static background background prediction target detection 2 Static background frame difference method for target detection 3. Mean Shift tracking method 4 multi-target tracking methods focus)

实现鱼眼图 圆形视场和全视场的校正、分为2幅图像、4幅图像、任意角度、任意位置的校正、全景图拼接等(Fish eye diagram of a circular field of view and full field calibration is divided into two images, four images at any angle, any position of the correction, and panoramic stitching.)

说明：   最简单的差分格式有向前、向后和中心3种。 向前差分：f (n)=f(n+1)-f(n) 向后差分：f (n)=f(n)-f(n-1) 中心差分：f (n)=[f(n+1)-f(n-1)]/2(The easiest difference format forward, backward, and three kinds of centers. Forward differencing: f (n) = f (n+ 1)-f (n) Backward difference: f (n) = f (n)-f (n-1) Central difference: f (n) = [f (n+ 1)-f (n-1)]/2)

本文介绍了一种 )’’ 多系统静态基线数据处理方法!该方法使用统一的方式来处理 &’ 5.)6’’ 北斗 及三者融合的观测数据#这种处理方法已经实现在广州南方测绘仪器有限公司的静态后处理软件中#本文使用实际数据验 证了这种处理方法!得到了较好的结果(This article describes a ) ' multi-system static baseline data processing method! This method uses a unified way to deal & ' ' 5.) 6' ' ' Compass and three observational data fusion# This treatment method It has been achieved in the static Guangzhou South mapping Instrument Co.# post-processing software used herein, the actual data validation of this approach! Get better results)

本程序实现小波和小波包滤波，，对高频部分进行处理对一维信号进行处理，得到重构去噪后的信号，代码调试通过(This procedure realize wavelet and wavelet packet filtering, and the high frequency part of the process of one dimensional signal processing, reconstruction after denoising signal, code debugging through)

经典的数字图像处理的形态学处理，包含源代码(Digital image processing morphological processing)

利用c++实现图像转置源代码，像素变换的一种方式(use Image home to the source code, pixel transform the way)

本代码功能是将图像旋转任意角度，为进一步的图像处理做铺垫。(The code function is to rotate the image at any angle, laying the groundwork for further image processing.)