Vuforia SDK Version: 6-0-112 -
Description with steps to reproduce: Hello,
I have a model about 9 meters long, 2.50 wide, and 5.6 high.
I made a marker (566x566 mm), with 5 stars.
The problem is that the model is unstable, and the model seems to float, but it's supposed to be on the ground.
I activated "Enable device pose tracking" and "Enable prediction" option.
I tried to make a multi target with cuboid, but the application does not take into account the new positions of faces that I want to give him, and remains a cube.
I don't know how to make multi-target, with many targets for one model.
Do you have any solutions to solve this problem?
Thank you -
Development OS (Mac OS X, Windows, Linux): Windows 10 -
Mobile OS and Version: Android 5.0.2 -
Mobile Device Manufacturer and Model name: Samsung Galaxy Tab S2 -
Do the Vuforia Sample Applications show the same behavior?: No, it's only the larger models
Hello,
Thanks for sending the video. Very helpful.
It seems that your use case is best suited for device tracking, as you mentioned. However, the pose variations in the video gives me the impression that 2D target tracking has been enabled somehow, and Extended Tracking is unable to provide a good experience due to lack of background variation.
Are you sure that you've properly enabled device tracking per our instructions and/or by inspecting the AR/VR sample app?
https://library.vuforia.com/articles/Solution/Using-the-MixedRealityController-in-Unity
The "AR" portion of the AR/VR sample is specific to the use of handheld device tracking after target detection, so it will give you the best clues for which options should be used considering your use case is very similar.
Note that the "Enable prediction" is an optimization specific to certain optical see-through eyewear devices, and is not valid for handheld use cases. Apologies that this is not documented further. Again, please follow the documentation and examples provided.
Yes, this is possible. However, I believe that you will still experience similar performance issues in challenging environments like the one in the video. If the target is to only be used to start the tracking experience, I suggest that you continue with your efforts to utilize device tracking for best results.
Thanks.