Table of Contents
Preface v
Chapter 1: General Overview of Computer Vision Systems
1
Introducing computer vision systems
1
Approaching computer vision problems
2
Data acquisition
3
Preprocessing 5
Feature extraction by image processing
6
Post-processing and post-filtering
8
Recognition or detection
8
Acting in the real world
9
Connecting the pieces
10
Summary
11
Chapter 2: Fundamentals and Installation of OpenCV
13
Fundamentals of OpenCV
13
The installation of OpenCV
14
Installing OpenCV on Linux
15
Installing and configuring packages
15
Using OpenCV with Eclipse CDT
16
Installing OpenCV on Mac OS
20
Getting command-line tools
20
Installing HomeBrew
20
Using OpenCV in Xcode
21
Installing OpenCV on Windows
21
Installing MS Visual Studio 2013
22
OpenCV on iOS
24
OpenCV on Android
25
Installing OpenCV4Android
25
Eclipse integration
25
Running samples
27
Summary
28
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Table of Contents
Chapter 3: Data Acquisition with OpenCV and Arduino
29
Image and video acquisition
29
Camera selection
30
Resolution 30
Color capabilities
32
Frame rate
32
2D or 3D
33
Communication interface
33
Image acquisition
34
Reading a static image
34
Taking a snapshot from a webcam
37
Getting a video stream from the webcam
38
Interaction with Kinect
40
Integration of Kinect with OpenCV
40
Sensor data acquisition
47
Setting up an Arduino environment
47
Fundamentals of sensors
48
Sensor types
48
Sampling theorem
49
Dealin