I am trying to use a photograph of a city panorama as an image target. When upload it to My Trackables page and try to convert it into an image target, I only get one, sometimes two stars of quality and the system doesn't let me use the photograph. There are, however, quite a few features that the tracking algorithm should lock onto, I think. I saw others using less sophisticated images as image targets. For example, on this site http://gavinmhackeling.com/?p=10, they use gallery images from afar and it works. On other examples, I saw a photograph of a single-colored shoe that worked well. How do people get these images to work as image targets? How do I make it get at least 3 stars so that I can use it? The Metaio SDK works quite well with my photographs, so it seems have better tracking capabilities, but it's extremely expensive, so I'd prefer to use Vuforia.
Thank you!
Hi, thanks for this explanation of your use case, that's very interesting.
Although, as you said, Vuforia might not perform extremly well in outdoor scenes (due to visibility, lighting and weather conditions which impose much harder constraints), you may be interested in knowing that the upcoming release of the Vuforia SDK (version 2.0) will contain some very interesting new features like the "User Defined Targets" (UDT) and the "Cloud Recognition".
In particular, the UDT feature will allow a user to build a target on the fly directly from images taken from the device camera at application runtime;
thinking of your case, you could imagine snapping a view of the city and instantly build a UDT out of it, which you can then use for tracking like any other Image Target; still, the outdoor view surely represents a challenging point, but it might be worth exploring this new feature as it would free you from building predefined targets.
Also, the Cloud Recognition feature will provide the ability to upload a huge amount of images to the Cloud (over the internet), thus removing the limitations of standard DataSets of Vuforia v1.5; that is another feature that could turn out somewhat useful for applications like yours.