3D Reconstruction of Occluded Luminous Objects

Akira Nagatsu; Fumihiko Sakaue; Jun Sato

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Paper

3D Reconstruction of Occluded Luminous Objects

Topics: Image-Based Modeling and 3D Reconstruction

In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5 VISAPP: VISAPP, 990-996, 2023 , Lisbon, Portugal

Authors: Akira Nagatsu ; Fumihiko Sakaue and Jun Sato

Affiliation: Nagoya Institute of Technology, Nagoya 466-8555, Japan

Keyword(s): NLOS, Occluded Objects, Luminous Object, 3D Reconstruction, GAN, Luminance Distribution.

Abstract: In this paper, we propose a method for recovering the 3D shape and luminance distribution of an invisible object such as a human around a corner. The human body is a heat-generating object, so it does not emit visible light but emits far-infrared light. When a luminous object is around the corner, it cannot be observed directly, but the light emitted by the luminous object reflects on the floor or wall and reaches the observer. Since the luminous intensity of an object such as a human body surface is not uniform and unknown, its 3D reconstruction is not easy. In this paper, we propose a method to recover an occluded luminous object with non-uniform luminance distribution from changes in intensity patterns on the intermediate observation surface.

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Paper citation in several formats:

Nagatsu, A.; Sakaue, F. and Sato, J. (2023). 3D Reconstruction of Occluded Luminous Objects. In Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP; ISBN 978-989-758-634-7; ISSN 2184-4321, SciTePress, pages 990-996. DOI: 10.5220/0011724800003417

@conference{visapp23,
author={Akira Nagatsu. and Fumihiko Sakaue. and Jun Sato.},
title={3D Reconstruction of Occluded Luminous Objects},
booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP},
year={2023},
pages={990-996},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011724800003417},
isbn={978-989-758-634-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP
TI - 3D Reconstruction of Occluded Luminous Objects
SN - 978-989-758-634-7
IS - 2184-4321
AU - Nagatsu, A.
AU - Sakaue, F.
AU - Sato, J.
PY - 2023
SP - 990
EP - 996
DO - 10.5220/0011724800003417
PB - SciTePress