object detection using opencv source code

transformation matrix. And the online about findhomography introduction is relatively few, so will let people misunderstand findfundamentalmat will calculate the transformation matrix.Try to return the matrix with the Findhomography function, in the template image, the object is already marked with a green box outline, according to the object's four boundary points, and the transformation matrix, you can get the transformed

This series of articles is produced by @ simple ink _ Mao yunxing. Please indicate the source for reprinting. Article: http://blog.csdn.net/poem_qianmo/article/details/21974023 Author: Mao yunxing (light ink) mailbox: happylifemxy@163.com The OpenCV version used to write the current blog: 2.4.8 This article discusses how to select different compiler types through the installed

.imread ('mask2.png ' = Cv2.inpaint (img,mask,3, Cv2. Inpaint_telea) cv2.imshow ('DST', DST) cv2.waitkey (0) Cv2.destroyallwindows ()The results are as follows. The first image is a degraded input image, and the second is a mask image. The third one is the result of using the first algorithm, and the last pair is the result of using the second algorithm.　　　　Part XObject detection51 Face

David Lowe's sift has always been used by everyone. We can't compile it by ourselves. It's not as good as we can compile it. First, use sift to extract feature points from the target object as the basis for subsequent judgment. The purpose of the demo is to detect the target object in another video. We use opencv to read a video. Use sift to extract the feature p

Note: This example is from China's digital art online. It has not been debugged and is reprinted here. It is just for your reference. Source of the original is: http://www.cgblog.com.cn/e/DoPrint? Classid = 29 id = 9742. === Recently, I saw someone using flash and the camera to make an interactive game. I thought it was very interesting. I used the library function of

Nonsense: Originally, this prototype source code analysis was intended only for taking notes on Prototype Learning. However, sometimes a problem can be found to be more in-depth (although it is still an analysis), which breaks away from the original expectations, more and more questions. Today, I plan to write STR, but when I write it to the variable detection, I

of the principle is also, binocular calibration must be shot at the same time. This is a piece of code that you write and capture the image at the same time, press C, and you can save the image. #include By the way, in the Loop Cvreleaseimage (img_left), Cvreleaseimage (img_right), must be executed, or a memory leak will occur. If you don't believe it, open the resource manager and comment out that the program runs when you see that the memory is ri

Reference: Pedestrian detection using hog features and SVM Classifier:Http://blog.csdn.net/carson2005/article/details/7841443 Hog + SVM has excellent Pedestrian detection effects due to its characteristics, but it also has good effects on other targets. Here we will expand the scope. Carson2005's blog article describes how to use

doesn ' t use the color hand; It uses the convexity detection of OpenCV. These two methods are the most popular in the maker and hacker communities and represent the simplest ways to detect and R Ecognize the gesture of humans to control robots. Hand gesture using opencv–using