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- Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
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Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
Shervin Emami, David Millán Escrivá, Daniel Lelis Baggio, Roy Shilkrot, Eugene Khvedchenia, Jason Saragih
Ebook
As we become more capable of handling data in every kind, we are becoming more reliant on visual input and what we can do with those self-driving cars, face recognition, and even augmented reality applications and games. This is all powered by Computer Vision.
This book will put you straight to work in creating powerful and unique computer vision applications. Each chapter is structured around a central project and deep dives into an important aspect of OpenCV such as facial recognition, image target tracking, making augmented reality applications, the 3D visualization framework, and machine learning. You’ll learn how to make AI that can remember and use neural networks to help your applications learn.
By the end of the book, you will have created various working prototypes with the projects in the book and will be well versed with the new features of OpenCV3.
This book will put you straight to work in creating powerful and unique computer vision applications. Each chapter is structured around a central project and deep dives into an important aspect of OpenCV such as facial recognition, image target tracking, making augmented reality applications, the 3D visualization framework, and machine learning. You’ll learn how to make AI that can remember and use neural networks to help your applications learn.
By the end of the book, you will have created various working prototypes with the projects in the book and will be well versed with the new features of OpenCV3.
- 1. CARTOONIFIER AND SKIN CHANGER FOR RASPBERRY PI
- 2. NATURAL IMAGE TRACKING FOR AUGMENTED REALITY
- 3. EXPLORING STRUCTURE FROM MOTION USING OPENCV
- 4. NUMBER PLATE RECOGNITION USING SVM AND NEURAL NETWORKS
- 5. NON-RIGID FACE TRACKING
- 6. 3D HEAD POSE ESTIMATION USING AAM AND POSIT
- 7. FACE RECOGNITION USING DEEP LEARNING
- Title: Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
- Author: Shervin Emami, David Millán Escrivá, Daniel Lelis Baggio, Roy Shilkrot, Eugene Khvedchenia, Jason Saragih
- Original title: Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
- ISBN: 9781786466563, 9781786466563
- Date of issue: 2017-04-28
- Format: Ebook
- Item ID: e_15iv
- Publisher: Packt Publishing