Learning to Predict Head Pose in Remotely-Rendered Virtual Reality

Author:

Illahi Gazi Karam12ORCID,Vaishnav Ashutosh2ORCID,Kämäräinen Teemu3ORCID,Siekkinen Matti23ORCID,Di Francesco Mario2ORCID

Affiliation:

1. Nokia Technologies, Espoo, Finland

2. Aalto University, Espoo, Finland

3. University of Helsinki, Helsinki, Finland

Publisher

ACM

Reference69 articles.

1. Christoph Anthes , Rubén Jesús García-Hernández , Markus Wiedemann, and Dieter Kranzlmüller. 2016 . State of the art of virtual reality technology. In 2016 IEEE aerospace conference. IEEE , 1--19. Christoph Anthes, Rubén Jesús García-Hernández, Markus Wiedemann, and Dieter Kranzlmüller. 2016. State of the art of virtual reality technology. In 2016 IEEE aerospace conference. IEEE, 1--19.

2. Least-Squares Fitting of Two 3-D Point Sets

3. Shaojie Bai J. Zico Kolter and Vladlen Koltun. 2018. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. http://arxiv.org/abs/1803.01271 arXiv:1803.01271 [cs]. Shaojie Bai J. Zico Kolter and Vladlen Koltun. 2018. An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling. http://arxiv.org/abs/1803.01271 arXiv:1803.01271 [cs].

4. Christopher M Bishop and Nasser M Nasrabadi . 2006. Pattern recognition and machine learning . Vol. 4 . Springer . Christopher M Bishop and Nasser M Nasrabadi. 2006. Pattern recognition and machine learning. Vol. 4. Springer.

5. Remote rendering and streaming of progressive panoramas for mobile devices

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1. QV4;Proceedings of the ACM Multimedia Systems Conference 2024 on ZZZ;2024-04-15

2. Correlation between Entropy and Prediction Error in VR Head Motion Trajectories;Proceedings of the 2nd International Workshop on Interactive eXtended Reality;2023-10-29

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