资源列表
TOOLBOX_calib
- 相机标定,matlab工具包,包括角点识别算法等。输入左右相机对标定块图像得到相机内参数(Camera calibration, matlab toolkit, including corner recognition algorithm, etc.. Input the right and left camera calibration block image to get the camera parameters)
Tracking video program
- 识别视频中动态图像,例如行走的人,移动的汽车等,标记其轮廓(Recognition of dynamic images in video)
zhang
- 利用少数标定图像,准确标定相机参数,即张氏标定法(Using a few calibration images, the camera calibration parameters are calibrated accurately, that is, Zhang's calibration method)
基于纹理的图像检索源码
- 提取需检索图像的纹理特征,然后通过纹理特征来检索图像库中的纹理类似的图像。(The texture feature of the image is extracted, and then the texture similar image is retrieved by the texture feature.)
netdxf-2.0.2
- C#实现的DXF开发类,包含源码,测试文档,类的说明文档(DXF development class implemented by C#)
2DProjectiveGeometry
- 鼠标操作利用OpenCV实现透视变换,需要使用鼠标点选选择4个边界点(Mouse operation using OpenCV to achieve perspective transformation)
SVMminstRecognition
- 在OpenCV环境下使用SVM算法实现minst手写0-9识别(Using SVM algorithm to realize MINST handwritten 0-9 recognition in OpenCV environment)
video_simulation
- 使用labview语言,实现视频的仿真模拟,在windows环境下(Using LabVIEW language to achieve video simulation, in the windows environment)
test4
- 算法描述 SIFT特征不只具有尺度不变性,即使改变旋转角度,图像亮度或拍摄视角,仍然能够得到好的检测效果。整个算法分为以下几个部分: (1)构造尺度空间:DoG尺度空间 (2)检测DoG尺度空间极值点 (3)去除不好的特征点 (4)给特征点赋值一个128维的方向参数。每个关键点都包含三个信息:位置、尺度和方向。 (5)关键点描述子的生成: 首先将坐标轴旋转为关键点的方向,以确保旋转不变性。以关键点为中心取8×8的窗口。 (6)最后进行特征匹配。(Algorithm descr i
数字水印
- 使用MATLAB编写,可以给图像添加数字水印。(Adding digital watermark to image)
uu522
- ofdm system simulation including 16qam modulation fft windowing modules plus cp, Fractional Fourier transform computing, Use of natural gradient algorithm.
feng_it33
- There are detailed notes, Suppressed carrier type differential phase modulation, Can realize the two-dimensional data clustering.