OpenCV Blueprints. Joseph Howse

OpenCV Blueprints


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


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OpenCV Blueprints Joseph Howse
Publisher: Packt Publishing



Stabilization with hardware Certain industries, such as the movie industry and the military, expect high quality video stabilization. Project overview Let's take a moment to understand how the code in this chapter is organized. 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. Classification Once you have extracted the features for all the samples in the dataset, it is time to start the classification process. 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. Calibration In the section that discusses the mathematical basis, we found several unknown camera parameters. 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. Supercharging the PlayStation Eye Sony developed the Eye camera in 2007 as an input device for PlayStation 3 games. Rounding up the unusual suspects This chapter's demo applications are tested with three cameras, which are described in the following table. Efficient Person Identification Using Biometric Properties The rise of digital media is greater than ever. Face detection OpenCV comes preinstalled with a range of sophisticated classifiers for general-purpose object detection. What you need for this book As a basic setup, the complete book is based on the OpenCV 3 software.





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