Biharmonic Inpainting for Sparse Single-Photon 3D Scene Reconstruction

Luke McEvoy; Daniel Tafone; Yong Meng Sua; Yuping Huang

Biharmonic Inpainting for Sparse Single-Photon 3D Scene Reconstruction

Luke McEvoy, Daniel Tafone, Yong Meng Sua, Yuping Huang

Department of Physics

Stevens Institute of Technology

Research output: Contribution to conference › Paper › peer-review

Abstract

Our study introduces inpainting through biharmonic functions for single-photon LiDAR reconstruction, omitting the need for artificial i ntelligence t o reconstruct images. This lightweight approach, combined with dynamic masking, offers efficient real-time compressive data acquisition and reconstruction.

Original language	English
State	Published - 2024
Event	2024 Frontiers in Optics, FiO 2024 - Denver, United States Duration: 23 Sep 2024 → 26 Sep 2024

Conference

Conference	2024 Frontiers in Optics, FiO 2024
Country/Territory	United States
City	Denver
Period	23/09/24 → 26/09/24

Cite this

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title = "Biharmonic Inpainting for Sparse Single-Photon 3D Scene Reconstruction",

abstract = "Our study introduces inpainting through biharmonic functions for single-photon LiDAR reconstruction, omitting the need for artificial i ntelligence t o reconstruct images. This lightweight approach, combined with dynamic masking, offers efficient real-time compressive data acquisition and reconstruction.",

author = "Luke McEvoy and Daniel Tafone and Sua, {Yong Meng} and Yuping Huang",

note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2024, {\textcopyright} 2024 The Author(s); 2024 Frontiers in Optics, FiO 2024 ; Conference date: 23-09-2024 Through 26-09-2024",

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language = "English",

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TY - CONF

T1 - Biharmonic Inpainting for Sparse Single-Photon 3D Scene Reconstruction

AU - McEvoy, Luke

AU - Tafone, Daniel

AU - Sua, Yong Meng

AU - Huang, Yuping

PY - 2024

Y1 - 2024

N2 - Our study introduces inpainting through biharmonic functions for single-photon LiDAR reconstruction, omitting the need for artificial i ntelligence t o reconstruct images. This lightweight approach, combined with dynamic masking, offers efficient real-time compressive data acquisition and reconstruction.

AB - Our study introduces inpainting through biharmonic functions for single-photon LiDAR reconstruction, omitting the need for artificial i ntelligence t o reconstruct images. This lightweight approach, combined with dynamic masking, offers efficient real-time compressive data acquisition and reconstruction.

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UR - http://www.scopus.com/inward/citedby.url?scp=85216117784&partnerID=8YFLogxK

M3 - Paper

AN - SCOPUS:85216117784

T2 - 2024 Frontiers in Optics, FiO 2024

Y2 - 23 September 2024 through 26 September 2024

ER -

Biharmonic Inpainting for Sparse Single-Photon 3D Scene Reconstruction

Abstract

Conference

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