Den-SOFT: Dense Space-Oriented Light Field DataseT for 6-DOF Immersive Experience
Xiaohang Yu, Zhengxian Yang, Shi Pan, Yuqi Han, Haoxiang Wang, Jun, Zhang, Shi Yan, Borong Lin, Lei Yang, Tao Yu, Lu Fang

TL;DR
This paper introduces Den-SOFT, a dense, large-space light field dataset captured with a multi-camera system, aimed at advancing 3D scene reconstruction and immersive VR/AR experiences.
Contribution
The authors developed a high-density, large-scale light field dataset using a custom multi-camera system, filling a gap in existing datasets for 3D reconstruction and immersive VR applications.
Findings
Validated dataset effectiveness on popular 3D reconstruction algorithms
Demonstrated integration of 3D reconstructions into Unity for VR
Captured large outdoor scenes with high resolution and density
Abstract
We have built a custom mobile multi-camera large-space dense light field capture system, which provides a series of high-quality and sufficiently dense light field images for various scenarios. Our aim is to contribute to the development of popular 3D scene reconstruction algorithms such as IBRnet, NeRF, and 3D Gaussian splitting. More importantly, the collected dataset, which is much denser than existing datasets, may also inspire space-oriented light field reconstruction, which is potentially different from object-centric 3D reconstruction, for immersive VR/AR experiences. We utilized a total of 40 GoPro 10 cameras, capturing images of 5k resolution. The number of photos captured for each scene is no less than 1000, and the average density (view number within a unit sphere) is 134.68. It is also worth noting that our system is capable of efficiently capturing large outdoor scenes.…
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Taxonomy
TopicsCCD and CMOS Imaging Sensors · Advanced Vision and Imaging · Infrared Target Detection Methodologies
