Vuforia is an augmented reality platform and toolkit for augmented reality software developer [1] (Software Development Kit - SDK) for mobile devices developed by Qualcomm . Vuforia uses computer vision technology, as well as tracking flat images and simple three-dimensional real objects (for example, cubic) in real time. From version 2.5, Vuforia recognizes text [2] , and from 2.6 it has the ability to recognize cylindrical markers [3] .
The ability to register images allows developers to position and orient virtual objects, such as 3D models and media content, in conjunction with real images when viewed through cameras of mobile devices. The virtual object is guided by a real image so that the observer's point of view refers to them in the same way to achieve the main effect - the feeling that the virtual object is part of the real world.
Vuforia supports a variety of 2D and 3D types of targets, including markerless Image Target, three-dimensional Multi-Target targets, as well as benchmark markers that highlight objects in the scene for recognition. Additional functions include the detection of obstacles using the so-called “Virtual Buttons”, the detection of targets and the ability to programmatically create and reconfigure targets within a self-modifying code [4] .
Vuforia provides C ++ , Java , Objective-C , and .Net application programming interfaces through integration with the Unity game engine. Thus, the SDK supports the development of native AR applications for iOS and Android , while at the same time assuming development in Unity, the results of which can be easily transferred to both platforms. Augmented reality applications created on the Vuforia platform are compatible with a wide range of devices, including iPhone , iPad , Android smartphones and tablets with version 2.2 and a processor, starting with ARMv6 or 7 architectures with the possibility of performing floating point calculations.
Notes
- ↑ About Vuforia - Qualcomm Developer Network
- ↑ Qualcomm Introduces Vuforia SDK with Text Recognition and Better Tracking
- ↑ Vuforia learned to recognize cylindrical objects (inaccessible link) . Date of treatment September 24, 2013. Archived on September 28, 2013.
- ↑ Developing with Vuforia - Vuforia Developer Archived on September 28, 2013.