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



Photographing Nature and Wildlife with an Automated Camera National Geographic is famous for its intimate photos of wild animals. System overview In this section, we will explain the process to apply the trained model in your application. Let us know what you think about this book—what you liked or disliked. Further study Computational photography is a diverse and popular field, which combines the work of artists, technicians, and scientists. Summary In this chapter, we trained a multiclass classifier to recognize traffic signs from the GTSRB database. Stabilization with hardware Certain industries, such as the movie industry and the military, expect high quality video stabilization. Calibration In the section that discusses the mathematical basis, we found several unknown camera parameters. Start your free 10-day trial of Safari. This book is for intermediate users of OpenCV who aim to master their skills by developing advanced practical applications. Efficient Person Identification Using Biometric Properties The rise of digital media is greater than ever. Capturing data First, we need to create an app for a mobile device that can capture both images and gyroscope signals simultaneously. Discover practical and interesting innovations in computer vision while building atop a mature open-source library, OpenCV 3. 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 This chapter has been an opportunity to consider the inputs of a computer vision system at the hardware and software levels. Reader feedback Feedback from our readers is always welcome. Instantly access OpenCV 3 Blueprints by Utkarsh Sinha, Quan Hua, Steven Puttemans, Joseph Howse. The GTSRB dataset In order to apply our classifier to traffic sign recognition, we need a suitable dataset. Further reading We have introduced a basic system for facial expression. Supercharging the PlayStation Eye Sony developed the Eye camera in 2007 as an input device for PlayStation 3 games.





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