Opencv 3. X With Python by Example: Make the Most of Opencv and Python to Build Applications for Object Recognition and Augmented Reality, 2nd Edition - Gabriel Garrido; Prateek Joshi
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Opencv 3. X With Python by Example: Make the Most of Opencv and Python to Build Applications for Object Recognition and Augmented Reality, 2nd Edition
Gabriel Garrido; Prateek Joshi
Synopsis "Opencv 3. X With Python by Example: Make the Most of Opencv and Python to Build Applications for Object Recognition and Augmented Reality, 2nd Edition "
Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV.Key FeaturesLearn 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 realityBook DescriptionComputer 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 projective transformations and see how we can use them to apply cool advanced manipulations to your photos like resizing them while keeping the content intact or smoothly removing undesired elements. We will then cover techniques of object tracking, body part recognition, and object recognition using advanced techniques of machine learning such as artificial neural network. 3D reconstruction and augmented reality techniques are also included. The book covers popular OpenCV libraries with the help of examples.This book is a practical tutorial that covers various examples at different levels, teaching you about the different functions of OpenCV and their actual implementation. By the end of this book, you will have acquired the skills to use OpenCV and Python to develop real-world computer vision applications.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 recognitionWho 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.Table of ContentsAPPLYING GEOMETRIC TRANSFORMATIONS TO IMAGESDETECTING EDGES AND APPLYING IMAGE FILTERSCARTOONIZING AN IMAGEDETECTING AND TRACKING DIFFERENT BODY PARTSEXTRACTING FEATURES FROM AN IMAGESEAM CARVINGDETECTING SHAPES AND SEGMENTING AN IMAGEOBJECT TRACKINGOBJECT RECOGNITIONAugmented RealityMachine learning by artificial neural network
