OpenCV Blueprints by Joseph Howse
OpenCV Blueprints Joseph Howse ebook
Publisher: Packt Publishing
Summary In this chapter, we explored a way to label the potentially interesting objects in a visual scene, even if their shape and number is unknown. The GTSRB dataset In order to apply our classifier to traffic sign recognition, we need a suitable dataset. *FREE* shipping on qualifying offers. Gyroscopic Video Stabilization Video stabilization is a classic problem in computer vision. Supercharging the PlayStation Eye Sony developed the Eye camera in 2007 as an input device for PlayStation 3 games. Calibration In the section that discusses the mathematical basis, we found several unknown camera parameters. Launchpad lets projects track the features they intend to implement over the next few releases. We can separate the face and apply an eye detector using face detection, which can be done with a high-resolution camera. In this section, we will show you a basic approach to detect faces in an image. Blueprints involving OpenCV packagers. Further improvement In this section, we will show some improvements that you can consider while creating a fully featured panorama application. OpenCV Blueprints [Joseph Howse, Steven Puttemans, Quan Hua, Utkarsh Sinha] on Amazon.com. Customer support Now that you are the proud owner of a Packt book, we have a number of things to help you to get the most from your purchase. Efficient Person Identification Using Biometric Properties The rise of digital media is greater than ever. We will use the cascade classifier in OpenCV to detect the face location.