Advances in Stereo Reconstruction towards Improved Holographic Communication

Laurent Valentin Jospin

doi:10.26182/86gs-h749

Advances in Stereo Reconstruction towards Improved Holographic Communication

Laurent Valentin Jospin

Research output: Thesis › Doctoral Thesis

455 Downloads (Pure)

Abstract

Recent advances in holographic displays and depth cameras promise to turn long-distance 3D holographic communication into reality. However, despite the advent of RGBD cameras, reconstructing a dynamic scene in real-time from every possible viewpoint is still a challenge. This thesis addresses the challenges associated to real-time stereo reconstruction, which constitutes the foundation of the holographic communication pipeline.

Original language	English
Qualification	Doctor of Philosophy
Awarding Institution	The University of Western Australia
Supervisors/Advisors	Boussaid, Farid, Supervisor Bennamoun, Mohammed, Supervisor Laga, Hamid, Supervisor, External person
Award date	6 Sept 2023
DOIs	https://doi.org/10.26182/86gs-h749
Publication status	Unpublished - 2023

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10.26182/86gs-h749

THESIS - DOCTOR OF PHILOSOPHY - JOSPIN Laurent Valentin - 2023
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A Survey on Deep Learning Techniques for Stereo-based Depth Estimation
Laga, H., Jospin, L. V., Boussaid, F. & Bennamoun, M., 1 Apr 2022, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 44, 4, p. 1738-1764 27 p.
Research output: Contribution to journal › Article › peer-review
242 Link opens in a new tab Citations (Scopus)
Hands-On Bayesian Neural Networks—A Tutorial for Deep Learning Users
Jospin, L. V., Laga, H., Boussaid, F., Buntin, W. & Bennamoun, M., 1 May 2022, In: IEEE Computational Intelligence Magazine. 17, 2, p. 29-48 20 p.
Research output: Contribution to journal › Article › peer-review

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Cite this

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title = "Advances in Stereo Reconstruction towards Improved Holographic Communication",

abstract = "Recent advances in holographic displays and depth cameras promise to turn long-distance 3D holographic communication into reality. However, despite the advent of RGBD cameras, reconstructing a dynamic scene in real-time from every possible viewpoint is still a challenge. This thesis addresses the challenges associated to real-time stereo reconstruction, which constitutes the foundation of the holographic communication pipeline.",

keywords = "Stereo Vision, Sub-pixel accuracy, Bayesian Statistics",

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language = "English",

school = "The University of Western Australia",

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TY - BOOK

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AU - Jospin, Laurent Valentin

PY - 2023

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N2 - Recent advances in holographic displays and depth cameras promise to turn long-distance 3D holographic communication into reality. However, despite the advent of RGBD cameras, reconstructing a dynamic scene in real-time from every possible viewpoint is still a challenge. This thesis addresses the challenges associated to real-time stereo reconstruction, which constitutes the foundation of the holographic communication pipeline.

AB - Recent advances in holographic displays and depth cameras promise to turn long-distance 3D holographic communication into reality. However, despite the advent of RGBD cameras, reconstructing a dynamic scene in real-time from every possible viewpoint is still a challenge. This thesis addresses the challenges associated to real-time stereo reconstruction, which constitutes the foundation of the holographic communication pipeline.

KW - Stereo Vision

KW - Sub-pixel accuracy

KW - Bayesian Statistics

U2 - 10.26182/86gs-h749

DO - 10.26182/86gs-h749

M3 - Doctoral Thesis

ER -

Advances in Stereo Reconstruction towards Improved Holographic Communication

Abstract

Access to Document

Research output

A Survey on Deep Learning Techniques for Stereo-based Depth Estimation

Hands-On Bayesian Neural Networks—A Tutorial for Deep Learning Users

Cite this