Gaussian Splat-Based Human Performance Reconstruction from Sparse Cameras

Author

Zhenhui Lin, Mohamed bin Zayed University of Artificial IntelligenceFollow

Date of Award

4-30-2024

Document Type

Thesis

Degree Name

Master of Science in Computer Vision

Department

Computer Vision

First Advisor

Prof. Fakhri Karray

Second Advisor

Prof. Mohammad Yaqub

Abstract

Furthermore, a thorough dataset is carefully selected to assess the operation of the virtual human teleportation system in different lighting circumstances, demonstrating the adaptability and reliability of the GPS-Gaussian technique. The graphical interface is designed to be user-friendly and allows for online real-time reconstruction, visualization, and interaction with the virtual human teleportation system. This discovery has consequences that go beyond academic investigation and can be applied in several fields such as remote cooperation, entertainment, healthcare, and education.

Comments

Thesis submitted to the Deanship of Graduate and Postdoctoral Studies

In partial fulfilment of the requirements for the M.Sc degree in Computer Vision

Advisors: Hao Li, Salman Khan

Online access available for MBZUAI patrons

Recommended Citation

Z. Lin, "Gaussian Splat-Based Human Performance Reconstruction from Sparse Cameras,", Apr 2024.