Here is a short example that demonstrates black and white marker detection along with pose estimation. The demonstration is Flash™ based so no need for you to install anything for testing!
After studying some existing solutions, here is described a new approach to encode and decode a black and white marker using the well-known (and pretty simple) hamming code. Algorithm is robust and can correct errors.
Posted in ARUCO, Augmented Reality, Augmented Reality Projects, Computer Vision, marker tracking |
QR Code is extensively used nowadays. Why is that? What are the reasons of its success? What can be achieve using this technology? Some ideas and clues in this article …
Posted in ARUCO, Augmented Reality, Code Identification, Error correction, Image Processing, image recognition, QR Code |
Tagged aruco, Error Correction, QR Code, Quick Response Code, Toyota production |
I had this question so many times: “how to design a marker with ARUCO?”. In fact it’s pretty simple in practice but a little tricky in this particular case. I’ll try to explain why …
Posted in ARToolkit, ARUCO, Augmented Reality Projects, Computer Vision, Image Processing, marker recognition, marker tracking |
Tagged artoolkit, aruco, augmented reality, black and white code, desgin, hamming, marker tracking |
This article focuses on testing
ARUCO which is a tool based on a free to use BSD license that provides a basic marker detection technology.
In this article, I’m trying to give technical clues on how to implement a simple marker detection engine similar to the technology provided in the well-known
Posted in Augmented Reality, Computer Vision, contour detection, Image Processing, image recognition, marker tracking, object tracking, ogre, opencv, pose estimation |
Tagged artoolkit, aruco, augmented reality, camera calibration, contour detection, hamming code, marker detection, ogr, opencv, pose estimation |