![]() Is there any function in OpenCV to find the intersection, union and complements of two cv::Rect.Is there any official place to find OpenCV article references?.is There any function in opencv which is equivalent to matlab conv2.Using OpenCV Random Forests, is there any way to obtain the "confidence" level for a classification?.Is there any function equivalent to Matlab's imadjust in OpenCV with C++?.Is there any image comparison server software out there, made from something like OpenCV (Windows or Mac)?.How to use estimateRigidTransform in OpenCV 3.0 or higher, Is there any other alternative?.Are there any free OpenCV classifier libraries?.Is there a way to adjust shutter speed or exposure time of a webcam using Python and OpenCV.Does anyone have any examples of using OpenCV with python for descriptor extraction?.Is there any way to integrate OpenCV with PHP?.Is there any way to install PyOpenCV or OpenCV on Python 2.5?.Python and OpenCV - is there any way of making sure sliding at the trackbar of cv2.createTrackbar will give me an odd value?.Is there any way to calculate the white distance from the image using python opencv.K-means Clustering in Opencv & python: Is there any option to cluster in mahalanobis distance?.This volume covers the entire library, in its modern C++ implementation, including machine learning tools for computer vision. Hands-on exercises in each chapter help you apply what you’ve learned. This book gives you a firm grounding in computer vision and OpenCV for building simple or sophisticated vision applications. With over 500 functions that span many areas in vision, OpenCV is used for commercial applications such as security, medical imaging, pattern and face recognition, robotics, and factory product inspection. You’ll learn what it takes to build applications that enable computers to "see" and make decisions based on that data. Written by Adrian Kaehler and Gary Bradski, creator of the open source OpenCV library, this book provides a thorough introduction for developers, academics, roboticists, and hobbyists. Get started in the rapidly expanding field of computer vision with this practical guide. ![]()
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