• Welcome
• Introduction

Introduction

What is OpenCV?

OpenCV (Open Source Computer Vision) is a library of programming functions mainly aimed at real time computer vision.

Example applications of the OpenCV library are Human-Computer Interaction (HCI); Object Identification, Segmentation and Recognition; Face Recognition; Gesture Recognition; Motion Tracking, Ego Motion, Motion Understanding; Structure From Motion (SFM); and Mobile Robotics.

How do I Download OpenCV?

You can either download the last published version for Linux or Windows. Or you can try the CVS version of OpenCV

Installing OpenCV

1. Installing OpenCV on Linux

Getting Started with OpenCV

1. Using Visual C++ .net and OpenCV

2. Using Eclipse IDE and OpenCV

3. Using C++ Builder IDE and OpenCV

4. Using DevCpp IDE and OpenCV

5. C/C++ interpreter Ch and OpenCV.

6. How do I compile OpenCV and OpenCV programs in Linux? - Also see notes in the Linux section of OS Specific Stuff below

7. Using OpenCV with Visual C++ and Microsoft's DirectShow

Frequently Asked Questions

Problem Specific Frequently Asked Questions

1. Beginners/Newbie FAQ's (how to access a pixel etc.)

2. How to use OpenCV to capture and display images from a camera

3. Which video file formats can I use with OpenCV?

4. How do I use OpenCV to Detect Faces?

5. Using OpenCV for Face Recognition

6. How to use OpenCV to Detect Objects?

7. How to use the OpenCV Blob Extraction Library

8. How do I correctly refresh my HighGUI application?

9. Where to download DirectShow?

10. How to Display more than one image in a single window?

11. CodingStyleGuide

12. VideoSurveillance

Tutorials

1. Using OpenCV with Microsoft's DirectShow

2. POSIT tutorial (wiki page incomplete but in progress)

3. A short introduction to programming with OpenCV

4. Tutorial on how to use Philips webcam features with OpenCV on Linux

5. Introduction to OpenCV (in Turkish)

6. Introduction to programming with OpenCV and IPP - (2003)