Treffer: OpenCV 3.x with Python By Example - Second Edition Ed. 2

Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV.About This BookLearn how to apply complex visual effects to images with OpenCV 3.x and PythonExtract features from an image and use them to develop advanced applicationsBuild algorithms to help you understand image content and perform visual searchesGet to grips with advanced techniques in OpenCV such as machine learning, artificial neural network, 3D reconstruction, and augmented realityWho This Book Is ForThis book is intended for Python developers who are new to OpenCV and want to develop computer vision applications with OpenCV and Python. This book is also useful for generic software developers who want to deploy computer vision applications on the cloud. It would be helpful to have some familiarity with basic mathematical concepts such as vectors, matrices, and so on.What You Will LearnDetect shapes and edges from images and videosHow to apply filters on images and videosUse different techniques to manipulate and improve imagesExtract and manipulate particular parts of images and videosTrack objects or colors from videosRecognize specific object or faces from images and videosHow to create Augmented Reality applicationsApply artificial neural networks and machine learning to improve object recognitionIn DetailComputer vision is found everywhere in modern technology. OpenCV for Python enables us to run computer vision algorithms in real time. With the advent of powerful machines, we have more processing power to work with. Using this technology, we can seamlessly integrate our computer vision applications into the cloud. Focusing on OpenCV 3.x and Python 3.6, this book will walk you through all the building blocks needed to build amazing computer vision applications with ease.We start off by manipulating images using simple filtering and geometric transformations. We then discuss affine and projec