FREE E-BOOK Mastering OpenCV with Practical Computer Vision Projects

FREE E-BOOK Mastering OpenCV with Practical Computer Vision Projects

FREE E-BOOK Mastering OpenCV with Practical Computer Vision Projects
FREE E-BOOK Mastering OpenCV with Practical Computer Vision Projects

Author(s): Daniel Lélis Baggio, Shervin Emami, David Millán Escrivá, Khvedchenia Ievgen, Naureen Mahmood, Jasonl Saragih, Roy Shilkrot
Publisher: Packt Publishing, Year: 2012
ISBN: 1849517827,9781849517829

Step-by-step tutorials to solve the shared real world Computer vision problems for your desktop or mobile phone Augmented reality and face number recognition
Recognize and track the 3D head


Step-by-step tutorials for solving shared computer vision in the real world. Desktop or mobile issues, from augmented reality and number plate recognition to face recognition and 3D head tracking. Anyone with Basic OpenCV is allowed. Experience of quickly gaining skills in many computer vision topics. For research or commercial use, each chapter is a separate project that covers the problem of computer vision. Written by a professional with proven experience in this topic.

 All projects include a step-by-step tutorial and a complete source code. Using the C ++ interface from OpenCV. In detail, computer vision quickly became an important technology and is used in Mars robot systems and national safety systems. 

Automated factories, driverless cars, and medical image analysis of new forms of human-computer interaction. OpenCV is the most popular library for computer vision, providing hundreds of complex and fast algorithms. But she has a steep learning curve and limited in-depth tutorials.

 Master OpenCV with computer vision projects. It is the perfect book for developers with only basic OpenCV skills who want to experience practical computer vision projects, as well as seasoned OpenCV experts who want to add more Computer Vision topics to their skill set or gain more experience with the new OpenCV C ++ interface before Migrate from C API to C ++ API.

Each chapter is a separate project including the necessary background knowledge, so try them all one-by-one or jump straight to the projects you're most interested in. Create working prototypes from this book including real-time mobile apps, Augmented Reality, 3D shape from video, or track faces & eyes, fluid wall using Kinect, number plate recognition and so on. Mastering OpenCV with Practical Computer Vision Projects gives you rapid training in nine computer vision areas with useful projects. What you will learn from this book Perform Face Analysis including simple Face & Eye & Skin Detection, Fisherfaces Face Recognition, 3D Head Orientation, complex Facial Feature Tracking.

 Do Number Plate Detection and Optical Character Recognition (OCR) using Artificial Intelligence (AI).methods including SVMs and Neural Networks Learn Augmented Reality for desktop and iPhone or iPad using simple artificial markers or complex markerless natural images Generate a 3D object model by moving a plain 2D camera, using 3D Structure from Motion (SfM) camera reprojection methods Redesign desktop real-time computer vision applications to more suitable Android & iOS mobile apps Use simple image filter effects including cartoon, sketch, paint, and alien effects Execute Human-Computer Interaction with an XBox Kinect sensor using the whole body as a dynamic input Approach Each chapter in the book is an individual project and each project is constructed with step-by-step instructions, clearly explained code, and includes the necessary screenshots. Who this book is written for You should have basic OpenCV and C/C++ programming experience before reading this book, as it is aimed at Computer Science graduates, researchers, and computer vision experts widening their expertise.

What this book covers

Chapter 1, Cartoonifier and Skin Changer for Android, contains a complete tutorial and Source code for both desktop and Android applications automatically
Generates animation or drawing from a real camera picture, with several possible types From animation including skin tone changer.

Chapter 2, Marker-based augmented reality on iPhone or iPad, contains the whole
Tutorial on how to build an AR-based augmented reality application
IPad and iPhone with step-by-step explanation and source code.
Chapter 3, Augmented Reality Without Marks, contains a complete tutorial on how to do this Develop an augmented reality desktop app with no tag What is augmented reality without tag and source code.

Chapter 4, Exploring the Structure of Motion with OpenCV, contains an introduction
To the Structure of Motion (SfM) by implementing SfM concepts in OpenCV.
The reader will learn how to reconstruct 3D geometry from several 2D images
Estimate camera positions.

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