Augmented Reality Engine Applications: A Survey
Kanaiya Rana, Bhavesh J. Patel · 2019
Augmented reality is currently upgrading technology where the main problem is pose tracking. When the device is static, pose tracking is not required. But when working with mobile devices, pose tracking is required to track user movements. In pose tracking, an application has to identify features from the given real-time video frames and mapping of those features between consecutive frames. After that, the model is used to render virtual content for augmented reality. Feature extraction and model detection are difficult to apply in the mobile device where a user has low computing power as well as low battery backup. To overcome this problem, there are many algorithms available which can provide effective feature tracking for the mobile environment and also uses less CPU power. Therefore augmented reality is somehow possible in mobile devices. But still, there is an accuracy issue related to model detection in augmented reality. In this paper, we have analyzed different augmented reality engines, their drawbacks, and possible improvements.