Skip to content

Barbakas/OpenCV-Marker-less-AR

 
 

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 

Repository files navigation

2012/01/10
Marker less AR is using natural images as markers instead of monochromatic markers.   This program includes object recognition, tracking, and overlay of 3D model functions.
You can use this program source code under MIT license.
http://www.opensource.org/licenses/mit-license.php

This program was written in C++ using OpenCV 2.3.1 and GLUT 3.7.6.  You should install these libraries before you compile this source code. 

GLUT
http://www.opengl.org/resources/libraries/glut/

OpenCV
https://sourceforge.net/projects/opencvlibrary/

This program also includes "GLMetaseq" which had been developed by Sunao Hashimoto and Keisuke Konishi.
GLMetaseq is 3D model loader of mqo format.

GLMetaseq
http://kougaku-navi.net/ARToolKit.html

The Windows demo program "ARengine.exe" includes a 3D models "mikuX.mqo", I obtained these files created by Zusa-san from:
http://nanoha.kirara.st/3dcg/file/dlrank.php

This program consists of 3 parts: Object Recognition, Tracking, and Overlay.  You can use Object Recognition function apart from tracking and overlay.

If you are a Windows user, I strongly recommend to begin with demo program.  This demo program is build on Windows 7 (32bit).  You can find how to use it in "HowToUse.pdf" in WinDemo.zip.
This source code is still alpha version and I've not written enough documents yet.  
This code is still on the way of refactoring, so API interface design will be changed later.  I will write API documents after refactoring.
At the current version, the only document "HowToUse.pdf" may be helpful to understand this application.

If you have any question, please contact here:
Takuya MINAGAWA (z.takmin@gmail.com)

About

This is a marker less augmented reality application developed using OpenCV. This code can be used under MIT license. Demo movie: http://youtu.be/KgQguj78qMA

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages

  • C++ 72.6%
  • C 27.4%