Anti-occlusion Depth Reconstruction from Light Field with Gaussian Weighted Matching Norm

Ligen Shi; Chang Liu; Li Zhang; Jun Qiu

doi:10.1364/3D.2021.3Th7E.8

OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)
OSA Technical Digest (Optica Publishing Group, 2021),
paper 3Th7E.8
•https://doi.org/10.1364/3D.2021.3Th7E.8

Anti-occlusion Depth Reconstruction from Light Field with Gaussian Weighted Matching Norm

Ligen Shi, Chang Liu, Li Zhang, and Jun Qiu

3D Image Acquisition and Display: Technology, Perception and Applications 2021

Washington, DC United States
19–23 July 2021
ISBN: 978-1-943580-89-7

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3D Imaging Applications II (3Th7E)

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L. Shi, C. Liu, L. Zhang, and J. Qiu, "Anti-occlusion Depth Reconstruction from Light Field with Gaussian Weighted Matching Norm," in OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP), H. Hua, B. Javidi, M. Martinez-Corral, O. Matoba, A. Stern, S. Thibault, T. Alieva, J. Ke, F. Willomitzer, F. Okten, P. Silveira, P. Banerjee, E. Stoykova, D. Chu, J. Park, F. Imai, C. Joo, M. Digman, D. Gardner, S. Gladysz, D. LeMaster, S. Basu, and O. Korotkova, eds., OSA Technical Digest (Optica Publishing Group, 2021), paper 3Th7E.8.

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Abstract

We proposed the Gaussian weighted matching norm (GWMN) to measure the region matching distance for light field, which can effectively suppress the mismatch from occlusion, and realize high-accuracy scene depth reconstruction.

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