HoloGS: Instant Depth-based 3D Gaussian Splatting with Microsoft HoloLens 2
Miriam J\"ager, Theodor Kapler, Michael Fe{\ss}enbecker, Felix, Birkelbach, Markus Hillemann, Boris Jutzi

TL;DR
HoloGS introduces a real-time 3D scene reconstruction method using Microsoft HoloLens 2 data, enabling instant Gaussian Splatting without pre-processing, suitable for cultural heritage and indoor scenes.
Contribution
The paper presents HoloGS, a novel workflow that leverages HoloLens 2 sensor data for immediate 3D Gaussian Splatting, bypassing traditional pre-processing steps.
Findings
HoloGS achieves high rendering quality assessed by PSNR.
The method accurately reconstructs 3D geometry with low Chamfer Distance.
Effective on both outdoor and indoor scenes.
Abstract
In the fields of photogrammetry, computer vision and computer graphics, the task of neural 3D scene reconstruction has led to the exploration of various techniques. Among these, 3D Gaussian Splatting stands out for its explicit representation of scenes using 3D Gaussians, making it appealing for tasks like 3D point cloud extraction and surface reconstruction. Motivated by its potential, we address the domain of 3D scene reconstruction, aiming to leverage the capabilities of the Microsoft HoloLens 2 for instant 3D Gaussian Splatting. We present HoloGS, a novel workflow utilizing HoloLens sensor data, which bypasses the need for pre-processing steps like Structure from Motion by instantly accessing the required input data i.e. the images, camera poses and the point cloud from depth sensing. We provide comprehensive investigations, including the training process and the rendering quality,…
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Taxonomy
Topics3D Shape Modeling and Analysis · Computer Graphics and Visualization Techniques · Image Processing and 3D Reconstruction
