Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
OpenCV 3 Blueprints

You're reading from   OpenCV 3 Blueprints Expand your knowledge of computer vision by building amazing projects with OpenCV 3

Arrow left icon
Product type Paperback
Published in Nov 2015
Publisher
ISBN-13 9781784399757
Length 382 pages
Edition 1st Edition
Tools
Arrow right icon
Toc

Table of Contents (9) Chapters Close

Preface 1. Getting the Most out of Your Camera System FREE CHAPTER 2. Photographing Nature and Wildlife with an Automated Camera 3. Recognizing Facial Expressions with Machine Learning 4. Panoramic Image Stitching Application Using Android Studio and NDK 5. Generic Object Detection for Industrial Applications 6. Efficient Person Identification Using Biometric Properties 7. Gyroscopic Video Stabilization Index

What you need for this book

As a basic setup, the complete book is based on the OpenCV 3 software. If a chapter does not have a specific OS requirement, then it will run on Windows, Linux, and Mac. As authors, we encourage you to take the latest master branch from the official GitHub repository (https://github.com/Itseez/opencv/) for setting up your OpenCV installation, rather then using the downloadable packages at the official OpenCV website (http://opencv.org/downloads.html), since the latest master branch contains a huge number of fixes compared to the latest stable release.

For hardware, the authors expect that you have a basic computer system setup, either a desktop or a laptop, with at least 4 GB of RAM memory available. Other hardware requirements are mentioned below.

The following chapters have specific requirements that come on top of the OpenCV 3 installation:

Chapter 1, Getting the Most out of Your Camera System:

  • Software: OpenNI2 and FlyCapture 2.
  • Hardware: PS3 Eye camera or any other USB webcam, an Asus Xtion PRO live or any other OpenNI-compatible depth camera, and a Point Grey Research (PGR) camera with one or more lenses.
  • Remarks: The PGR camera setup (with FlyCapture 2) will not run on Mac. Even if you do not have all the required hardware, you can still benefit from some sections of this chapter.

Chapter 2, Photographing Nature and Wildlife with an Automated Camera:

  • Software: Linux or Mac operating system.
  • Hardware: A portable laptop or a single-board computer (SBC) with battery, combined with a photo camera.

Chapter 4, Panoramic Image Stitching Application Using Android Studio and NDK:

  • Software: Android 4.4 or later, Android NDK.
  • Hardware: Any mobile device that supports Android 4.4 or later.

Chapter 7, Gyroscopic Video Stabilization:

  • Software: NumPy, SciPy, Python, and Android 5.0 or later, and the Android NDK.
  • Hardware: A mobile phone that supports Android 5.0 or later for capturing video and gyroscope signals.
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime