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ch6_ex6_3
- 透视变换代码 除了3*3矩阵和三个控点变为四个控点外，透视变换在其他方面与仿射变换完全类似-Perspective transformation code in addition to 3* 3 matrix and the three control points into four control points, the perspective transformation in other areas with similar affine transformation complete
Sobel-Laplace-Canny-matlab-code
- 模式识别大作业题目和实习代码： （1）请自己在互联网上任意找一张图片用做测试，命名为“学号后四_Original”。放在C++工程文件夹下（与CPP文件放在同一文件夹）。用C++调用OpenCV函数对该幅图片进行读入和显示操作。 （2）在(1)基础上，添加修改代码，将原图转换成灰度图像，并保存，命名为“学号后四位_Gray”。 （3） 请利用OpenCV中Sobel，Laplace，Canny算法相应函数对(2)中图像进行处理，并保存，命名为“学号后四位_Sobel”或“学号后四位_
chongjian
- 一中基于opencv的采用四幅图像的三维重建程序，并应用MATLAB现实出来-Opencv-based adoption of a four dimensional image reconstruction procedures and practical application from MATLAB
CV-paper
- 关于opencv的几篇经典论文 英文的 希望对学习图像的人有帮助-four paper about the opencv ,hope will useful to someone
CameraDS
- 我修改了Shiqi Yu编写的CCameraDS类,增加ShowPinPropertyPage,ShowFilterPropertyPage,GetDeviceFilter,GetCameraOutput四个函数 在CB2007下通过编译 不知为何,修改Camera属性后,有时不会取到图像回来,特别是修改图像大小-I modified the Shiqi Yu CCameraDS class prepared to increase ShowPinPropertyPage, Sho
sanweishijuedingweijiance
- 基于OpenCV的三维视觉式四轮定位参数检测方法实现基于OpenCV的三维视觉式四轮定位参数检测方法实现-OpenCV-based three-dimensional four-wheel alignment parameters of visual detection OpenCV-based three-dimensional four-wheel alignment parameters of visual detection method to achieve
use-opencv-to-face-detection
- 这是使用opencv实现人脸检测的论文合集，包括四篇高质量的中文文献，参考价值高-This is achieved using the opencv face detection collection of papers, including four high-quality Chinese literature, the high reference value
openCVpaper
- 检测火焰的论文四篇，实现得相当不错，讲解详细，创新-Paper four of the test flame, pretty good, explain in detail, innovation
Clock-Wipe
- 1. 首先把兩張圖讀進來，求出高與寬和設定time的最大值 2. 利用atan()這個數學函式算出角度，以圖的中心為基準width/2和height/2 把x,y帶入atan(-(y-height/2)/(x-width/2))*180/PI - 當求出的角度<隨著時間比例變的角度，則將新的圖覆蓋到舊的圖 - 反之，用舊的圖覆蓋舊的圖 3. 但是，這會產生一個問題，因為斜率一樣，且atan()求出的角度範圍只有-90~90度，所以一三象限或者二四象限會發生同時wi
GMM
- 运用OpenCV2.0编辑混合高斯背景建模，能够较好的识别四个视频中的运动前景和背景，在一定程度的背景复杂度下，能够较准确检测。-The use OpenCV2.0 edit Gaussian mixture background modeling, and better identification of four video movement in the foreground and background, the background of a certain degree of com
fish_full
- 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.
demo_ASIFT_src
- 考虑了放射变换因素，比sift有更好的效果，但是速度由于增加了旋转的考虑会变慢很多！-A fully affine invariant image comparison method, Affine-SIFT (ASIFT) is introduced. While SIFT is fully invariant with respect to only four parameters namely zoom, rotation and translation, the new method t
CarStreamTest
- 可分别对视频中的四个车道的车流数目进行统计 ，采用的的基于OpenCV+VC2008编程，车车辆识别采用背景差分法和邻帧检测法-Video can be respectively on the four lane number traffic statistics, the based on OpenCV+ VC2008 programming, the car vehicle identification adopted the background difference method and
watermarkfft
- 基于fft的数字水印，分别对RBG三个通道重复嵌水印，每个通道分别对fft变换域中幅度谱以圆方式，每个圆上对称的四个点重复嵌1bit水印，然后以r为步进，选更大的圆嵌入接下去的水印信息，该方法有比较好的鲁棒性-Fft-based digital watermarking were embedded watermark repeated RBG three channels, each channel separately the fft transform domain amplitude sp
test
- opencv 实现图形填充，即将符合四连通或八连通定义的区域内的一点（常称为种子点）赋予给定颜色，然后将这种颜色扩展到整个区域的过程。-opencv graphics fill the area to be in line with the definition of four or eight connectivity connectivity point process (often referred to as seed points) giving a given color, this
ustc_image_exp
- 图像处理课程的实验内容，包括四个小实验，实验1图像的点处理 实验2 图像的平滑 实验3 图像的边缘检测 实验4 FOURIER变换 包括最后的实验报告-Image Processing courses of experiments, including four small experiments a point image processing image smoothing Experiment 2 Experiment 3 image edge detection experiment 4
abc
- opencv在VC++环境下图像平滑处理的四种常用方法-opencv environment in VC++ image smoothing the four common methods
opencvsift
- SIFT 算法提取图像局部特征， 成功应用于物体识别、图像检索等领域。SIFT 算法主要分为四个步骤： 检测尺度空间极值点、精确定位极值点、为每个关键点指定方向参数、关键点描述子的生成。-SIFT algorithm to extract local image features, successfully applied to object recognition, image retrieval and other fields. SIFT algorithm is divided into
perspective
- 此代码主要介绍了图像的稀疏映射，通过一副图像的四个点来确定映射函数，从而达到图像的映射，代码完整的解释了映射的详细算法-This code describes the mapping of the sparse image through an image four points to determine the mapping function, so as to achieve the image mapping, code complete a detailed explanation o
wrap_affine1
- 仿射，图像变换，选取图像四个角点，进行图像变换-Click to select the four corners of the image affine transformation point