ADAPTIVEFUSION: Low Power Scene Reconstruction

Muhammad Huzaifa; Boyuan Tian; Yihan Pang; Henry Che; Shenlong Wang; Sarita Adve

doi:10.1109/VRW58643.2023.00296

ADAPTIVEFUSION: Low Power Scene Reconstruction

Muhammad Huzaifa, Boyuan Tian, Yihan Pang, Henry Che, Shenlong Wang, Sarita Adve

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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.

Original language	English (US)
Title of host publication	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
Number of pages	2
ISBN (Electronic)	9798350348392
DOIs	https://doi.org/10.1109/VRW58643.2023.00296
State	Published - 2023
Event	2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023 - Shanghai, China Duration: Mar 25 2023 → Mar 29 2023

Publication series

Name	Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023

Conference

Conference	2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023
Country/Territory	China
City	Shanghai
Period	3/25/23 → 3/29/23

Keywords

Human-centered computing
Human-centered computing
Mixed/augmented reality
Virtual reality

ASJC Scopus subject areas

Computer Graphics and Computer-Aided Design
Computer Science Applications
Human-Computer Interaction
Media Technology

Online availability

10.1109/VRW58643.2023.00296

Library availability

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Cite this

Huzaifa, M., Tian, B., Pang, Y., Che, H., Wang, S., & Adve, S. (2023). ADAPTIVEFUSION: Low Power Scene Reconstruction. In Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023 (pp. 907-908). (Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VRW58643.2023.00296

ADAPTIVEFUSION: Low Power Scene Reconstruction. / Huzaifa, Muhammad; Tian, Boyuan; Pang, Yihan et al.
Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 907-908 (Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Huzaifa, M, Tian, B, Pang, Y, Che, H, Wang, S & Adve, S 2023, ADAPTIVEFUSION: Low Power Scene Reconstruction. in Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023. Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023, Institute of Electrical and Electronics Engineers Inc., pp. 907-908, 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023, Shanghai, China, 3/25/23. https://doi.org/10.1109/VRW58643.2023.00296

Huzaifa M, Tian B, Pang Y, Che H, Wang S , Adve S. ADAPTIVEFUSION: Low Power Scene Reconstruction. In Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 907-908. (Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023). doi: 10.1109/VRW58643.2023.00296

Huzaifa, Muhammad ; Tian, Boyuan ; Pang, Yihan et al. / ADAPTIVEFUSION : Low Power Scene Reconstruction. Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023. Institute of Electrical and Electronics Engineers Inc., 2023. pp. 907-908 (Proceedings - 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023).

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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 = "This work was supported in part by the Applications Driving Architectures (ADA) Center, a JUMP Center co-sponsored by SRC and DARPA, the DARPA DSSOC program, the NSF under grants 2120464 and 2217144, an Amazon research award, the Insper-Illinois Collaboration Fund, and by a gift from Cisco Systems Inc.; 2023 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, VRW 2023 ; Conference date: 25-03-2023 Through 29-03-2023",

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doi = "10.1109/VRW58643.2023.00296",

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AU - Wang, Shenlong

AU - Adve, Sarita

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ADAPTIVEFUSION: Low Power Scene Reconstruction

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