@inproceedings{e18ef78feab541c6a6ad1d4d67bee6b8,
title = "ADAPTIVEFUSION: Low Power Scene Reconstruction",
abstract = "Towards deploying scene reconstruction on mobile devices with a stringent power budget, we propose ADAPTIVEFUSION to meet the power envelope by dynamically changing the reconstruction frequency while maintaining acceptable quality. Compared to a standard 30 Hz baseline, ADAPTIVEFUSION reduces frequency, and thus power, by 4.9 × on average and is applicable to other fusion-based algorithms.",
keywords = "Human-centered computing, Human-centered computing, Mixed/augmented reality, Virtual reality",
author = "Muhammad Huzaifa and Boyuan Tian and Yihan Pang and Henry Che and Shenlong Wang and Sarita Adve",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023 ; Conference date: 25-03-2023 Through 29-03-2023",
year = "2023",
doi = "10.1109/VRW58643.2023.00296",
language = "English (US)",
series = "Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "907--908",
booktitle = "Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023",
address = "United States",
}