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



Summary This chapter showed the complete process of a facial expression system in OpenCV 3. Photographing Nature and Wildlife with an Automated Camera National Geographic is famous for its intimate photos of wild animals. 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. Stabilization with hardware Certain industries, such as the movie industry and the military, expect high quality video stabilization. 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. Supercharging the PlayStation Eye Sony developed the Eye camera in 2007 as an input device for PlayStation 3 games. Feature extraction Generally speaking, a feature is an interesting area of an image. OpenCV Blueprints eBook: Joseph Howse, Steven Puttemans, Quan Hua, Utkarsh Sinha: Amazon.ca: Kindle Store. 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. In this section, we'll look at some Android-specific tasks: one is rendering an overlay on top of the camera view and the second is reading media files on Android. Application showcase In this section, we show some panorama images captured with our application. Buy OpenCV 3 Blueprints by Joseph Howse, Steven Puttemans, Quan Hua ( ISBN: 9781784399757) from Amazon's Book Store. Rounding up the unusual suspects This chapter's demo applications are tested with three cameras, which are described in the following table. The process flow Features are extracted, matched, and tracked by the FeatureMatching class, especially by its public match method.





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