Trace Match & Merge: Long-Term Field-Of-View Prediction for AR Applications
Adam Viola, Sahil Sharma, Pankaj Bishnoi, Matheus Gadelha, Stefano Petrangeli, Haoliang Wang, Viswanathan Swaminathan · 2021
Photorealistic Augmented Reality (AR) experiences require high bandwidth. Streaming approaches have already been proposed to guarantee a low-latency and yet high quality experience for the end user despite this bandwidth requirement. To provide the best streaming performance, these approaches usually require accurate prediction of the Field-Of- View(FOV) of the AR device to prioritize the download of digital objects that are most likely to be viewed by the user. While current prediction approaches can be successfully applied for short prediction horizons (2 seconds).