Fisheye-GS: Lightweight and Extensible Gaussian Splatting Module for Fisheye Cameras

Zimu Liao, Siyan Chen, Rong Fu, Yi Wang, Zhongling Su, Hao Luo, Linning Xu, Bo Dai, Hengjie Li, Zhilin Pei, Xingcheng Zhang
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Abstract

Recently, 3D Gaussian Splatting (3DGS) has garnered attention for its high fidelity and real-time rendering. However, adapting 3DGS to different camera models, particularly fisheye lenses, poses challenges due to the unique 3D to 2D projection calculation. Additionally, there are inefficiencies in the tile-based splatting, especially for the extreme curvature and wide field of view of fisheye lenses, which are crucial for its broader real-life applications. To tackle these challenges, we introduce Fisheye-GS.This innovative method recalculates the projection transformation and its gradients for fisheye cameras. Our approach can be seamlessly integrated as a module into other efficient 3D rendering methods, emphasizing its extensibility, lightweight nature, and modular design. Since we only modified the projection component, it can also be easily adapted for use with different camera models. Compared to methods that train after undistortion, our approach demonstrates a clear improvement in visual quality.
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Fisheye-GS:用于鱼眼相机的轻量级可扩展高斯拼接模块
最近,三维高斯拼接(3DGS)因其高保真和实时渲染而备受关注。然而,由于独特的三维到二维的投影计算方法,使 3DGS 适应不同的摄像机模型,尤其是鱼眼镜头,带来了挑战。此外,基于平铺的拼接也存在效率低下的问题,特别是对于鱼眼镜头的极端曲率和宽视场来说,这对于其在现实生活中的广泛应用至关重要。为了应对这些挑战,我们引入了 Fisheye-GS。这种创新方法可以重新计算鱼眼相机的投影变换及其梯度。我们的方法可以作为一个模块无缝集成到其他高效的三维渲染方法中,强调了它的可扩展性、轻量级和模块化设计。由于我们只修改了投影部分,因此也可以很容易地适用于不同的相机模型。与在不失真后进行训练的方法相比,我们的方法在视觉质量上有明显的改进。
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