OpenCV Blueprints Joseph Howse
Publisher: Packt Publishing

OpenCV 3 Blueprints Copyright © 2015 Packt Publishing All rights reserved. Gyroscopic Video Stabilization Video stabilization is a classic problem in computer vision. OpenCV Blueprints [Joseph Howse, Steven Puttemans, Quan Hua, Utkarsh Sinha] on Amazon.com. Feature extraction Generally speaking, a feature is an interesting area of an image. Design and develop advanced computer vision projects using OpenCV with Python. Stabilization with hardware Certain industries, such as the movie industry and the military, expect high quality video stabilization. For support files and downloads related to your book, please visit www.PacktPub. 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. Summary In this chapter, we trained a multiclass classifier to recognize traffic signs from the GTSRB database. No part of this book may be OpenCV 3 Blueprints. 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. Capturing data First, we need to create an app for a mobile device that can capture both images and gyroscope signals simultaneously. Further reading We have introduced a basic system for facial expression. OpenCV 3 Blueprints Several types of boosting are supported by the OpenCV interface, but for convenience, we use the frequently used AdaBoost interface. *FREE* shipping on qualifying offers. Efficient Person Identification Using Biometric Properties The rise of digital media is greater than ever. Cover Text OpenCV is a native cross platform C++ Library for computer vision, machine learning, and image processing.