OpenCV Blueprints. Joseph Howse

OpenCV Blueprints


OpenCV.Blueprints.pdf
ISBN: 9781784399757 | 382 pages | 10 Mb


Download OpenCV Blueprints



OpenCV Blueprints Joseph Howse
Publisher: Packt Publishing



Conventions In this book, you will find a number of text styles that distinguish between different kinds of information. The process flow Features are extracted, matched, and tracked by the FeatureMatching class, especially by its public match method. Further reading We have introduced a basic system for facial expression. Start your free 10-day trial of Safari. Color finding with OpenCV Now you'll want to use OpenCV and your webcam to track your puck. Instantly access OpenCV with Python Blueprints by Michael Beyeler. The first is the pinhole camera model. Basic installation guides As authors, we acknowledge that installing OpenCV 3 on your system can sometimes be quite cumbersome. Blueprints involving OpenCV packagers. The math Before we jump into the code, let's take an overview of the algorithm. We can separate the face and apply an eye detector using face detection, which can be done with a high-resolution camera. Summary In this chapter, we explored a way of reconstructing a scene in 3D—by inferring the geometrical features of 2D images taken by the same camera. Launchpad lets projects track the features they intend to implement over the next few releases. Further improvement In this section, we will show some improvements that you can consider while creating a fully featured panorama application. This book is for intermediate users of OpenCV who aim to master their skills by developing advanced practical applications. Further study Computational photography is a diverse and popular field, which combines the work of artists, technicians, and scientists. OpenCV Blueprints eBook: Joseph Howse, Steven Puttemans, Quan Hua, Utkarsh Sinha: Amazon.ca: Kindle Store.





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