OpenCV Blueprints Joseph Howse
Publisher: Packt Publishing

Calibration In the section that discusses the mathematical basis, we found several unknown camera parameters. The GTSRB dataset In order to apply our classifier to traffic sign recognition, we need a suitable dataset. Design and develop advanced computer vision projects using OpenCV with Python. OpenCV with Python Blueprints [Michael Beyeler] on Amazon.com. We will use the cascade classifier in OpenCV to detect the face location. No part of this book may be OpenCV 3 Blueprints. The math Before we jump into the code, let's take an overview of the algorithm. In this section, we will show you a basic approach to detect faces in an image. About the Reviewers Walter Lucetti, known on internet as Myzhar, is an Italian computer engineer with a specialization in Robotics and Robotics Perception. Launchpad lets projects track the features they intend to implement over the next few releases. *FREE* shipping on qualifying offers. Shopping for glass There is nothing quite like a well-crafted piece of glass that has survived many years and continued to sparkle because someone cared for it. Further study Computational photography is a diverse and popular field, which combines the work of artists, technicians, and scientists. Instantly access OpenCV with Python Blueprints by Michael Beyeler. In the previous section, we discussed the use of the first biometric, which is the face of the person trying to log in to the system. Blueprints involving OpenCV packagers. OpenCV 3 Blueprints Copyright © 2015 Packt Publishing All rights reserved. Start your free 10-day trial of Safari. The first is the pinhole camera model. Rounding up the unusual suspects This chapter's demo applications are tested with three cameras, which are described in the following table.