However, to accomplish this, the tracker requires that the visual appearance of the surface is known in advance. Thus, the system has to be trained with a surface in advance to recognize and track the surface. The output of this training is a set of data that can be used for realtime tracking in applications using artoolkitX. The following constraints apply to surfaces which can be used with the artoolkitX NFT tracker.
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These are applications that involve the overlay of virtual imagery on the real world. For example, in the image to the right a three-dimensional virtual character appears standing on a real card. It can be seen by the user in the head set display they are wearing. When the user moves the card, the virtual character moves with it and appears attached to the real object.
One of the key difficulties in developing Augmented Reality applications is the problem of tracking the users viewpoint. In order to know from what viewpoint to draw the virtual imagery, the application needs to know where the user is looking in the real world. ARToolKit uses computer vision algorithms to solve this problem.
The ARToolKit video tracking libraries calculate the real camera position and orientation relative to physical markers in real time. This enables the easy development of a wide range of Augmented Reality applications. Tracking code that uses simple black squares. The ability to use any square marker patterns.
Easy camera calibration code. Fast enough for real time AR applications. Distributed with complete source code. A complete description of features is available here. ARToolKit was originally developed by Dr. Commercial licenses to a professional implementation of ARToolKit are available for users for whom the GPL is not suitable, or who require a higher level of support, or who require customization or other specialist modifictions.
Commercial licenses are administered by ARToolworks, Inc. Click here for more information on ARToolKit licenses and your usage options. For information on this page, contact Philip Lamb. Translations of this page available: Belarusian.
Creating and using NFT markers
ARToolKit Marker Generator Online released!