Application of Photogrammetry to Gaussian Splatting for mesh and texture reconstruction

Bachelor thesis (2024)

Authors

K.J. Kiisa Electrical Engineering, Mathematics and Computer Science

Contributors

Xucong Zhang Pattern Recognition and Bioinformatics (mentor)
M. Weinmann Computer Graphics and Visualisation (graduation committee member)
Faculty
Electrical Engineering, Mathematics and Computer Science, Electrical Engineering, Mathematics and Computer Science
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Published Date

25-06-2024

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

Gaussian Splatting is a successful recent method for generating novel views of a scene based on photographs taken from that scene [1]. It uses rasterization in order to render the scenes it generates, which consist of 3D Gaussians. However, modern hardware and tools are designed and optimized around rendering polygonal and texture based models [2]. This paper proposes a method of extracting both a 3D model and texture file from a Gaussian Splatting scene by using renders of that scene in Photogrammetry. It shows that this can be a viable method for generating a traditional 3D model from Gaussian Splatting scene, and can for certain cases generate a model of comparable quality while lowering the number of initial images required by up to three times.

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