Can anyone tell me what exactly or how exactly does an image get recognised in the Qualcomm QCAR https://developer.qualcomm.com/develop/mobile-technologies/augmented-reality. I would like to know which image detection algorithm is used.
Image detection technique used in QCAR
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QCAR is based on Studierstube ES, which is publically not available. However, you might be interested in publications of the handheld augmented reality project as some of those are about Studierstube ES, the predecessor. The algorithms for sure have been improved in the meantime, but you can find out from what they have evolved.
I didn't read the the papers, but these could be interested to you:
http://www.icg.tugraz.at/publications/pdf/WAGNER_ISMAR08_AMT.pdf
http://www.icg.tugraz.at/publications/pdf/WAGNER_ISMAR08_NFT.pdf
http://www.icg.tugraz.at/Members/daniel/MultipleTargetTrackingPDF
Unfortunately there seems to be little to no documentation about the applied algorithms in QCAR on the Qualcomm website, other than "The QCAR SDK uses sophisticated algorithms to detect and track the features that are naturally found in the image itself"
However, there is some explanation about the different types of supported trackables you might want to take a look at. I'm not much into image recognition, but you may be able to get some pointers about the underlying algorithms from that.