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



Read a free sample or buy OpenCV Blueprints by Joseph Howse & Steven Puttemans. Photographing Nature and Wildlife with an Automated Camera National Geographic is famous for its intimate photos of wild animals. Instantly access OpenCV 3 Blueprints by Utkarsh Sinha, Quan Hua, Steven Puttemans, Joseph Howse. Start your free 10-day trial of Safari. The first is the pinhole camera model. Calibration In the section that discusses the mathematical basis, we found several unknown camera parameters. Face detection OpenCV comes preinstalled with a range of sophisticated classifiers for general-purpose object detection. OpenCV Blueprints that walks the reader through multiple projects and teaches them how to think about computer vision projects. 2D scale space relation Another large advantage that we can exploit in industrial cases is the fact that many of these setups have a fixed camera position. Further improvement In this section, we will show some improvements that you can consider while creating a fully featured panorama application. Search in book Toggle Font Controls. Amazon.com: OpenCV Blueprints eBook: Joseph Howse, Steven Puttemans, Quan Hua, Utkarsh Sinha: Kindle Store. In this section, we will show you a basic approach to detect faces in an image. Further study Computational photography is a diverse and popular field, which combines the work of artists, technicians, and scientists. 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. We will use the cascade classifier in OpenCV to detect the face location. Application showcase In this section, we show some panorama images captured with our application. The math Before we jump into the code, let's take an overview of the algorithm. This book is for intermediate users of OpenCV who aim to master their skills by developing advanced practical applications. Twitter · Facebook · Google Plus · Email · Prev.





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