I know that most common object detection involves Haar cascades and that there are many techniques for feature detection such as SIFT, SURF, STAR, ORB, etc... but if my end goal is to recognizes objec
I\'m a new user to OpenCV. I\'m using version 2.3.2 (from the SVN repository). I have a specific 3-dimensional cv::Mat structure which is 288 x 384 x 10. This represents a 288 x 384 image and the oth
I want to use OpenCV as a static library. After compiling the library as a static library now i\'m testing with some examples to s开发者_StackOverflow中文版ee all the dependencies.
Im getting EXC_BAD_ACCESS error when calling cvThreshold. Without that line (if I comment it), the image is displayed perfectly.
I know that there are many detection techniques in OpenCV, such as SURF, STAR, ORB etc...but those techniques are for feature detection of new video feed, not for dealing with specific instances of ob
Using OpenCV\'s HaarDetectObjects with haarcascade_frontalface_default.xml, I\'ve f开发者_高级运维ound I can detect a face fairly reliably. However, is anyone aware of any libraries or methods for ide
I\'m on OS X 10.7.1. I\'ve downloaded the latest JavaCV binaries, and built OpenCV from a current subversion checkout.The cvLoadImage() function returns null, no matter what I pass it. I have verified
I\'m trying to create a PCA model in OpenCV to hold pixel coordinates. As an experiment I have two sets of pixel coordinates that maps out two approximate circles. Each set of coordiantes has 48 x,y p
I am attempting image segmentation using GrabCut algorithm in OpenCV2.1 (C++) Here my code: Mat rgbWorkImage = imread(argv[1]);
I am trying to do green screen subtraction in real time on iOS.I have included openCV in my project and I can get the raw data from the camera using this tutorial: http://www.benjaminloulier.com/artic
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