Zanardelli Marcello, Moghaddam Mahyar G, Leonardi Riccardo, Benini Sergio, Adami Nicola
Department of Information Engineering, CNIT - University of Brescia, Via Branze, 38, 25133 Brescia, Italy.
Data Brief. 2024 Jul 2;55:110700. doi: 10.1016/j.dib.2024.110700. eCollection 2024 Aug.
In this work, we present a novel dataset, , comprising 39,086 high-resolution images, aimed at addressing the data scarcity in the field of 3D light direction estimation under the assumption of distant lighting. was generated using our software (which is also publicly available), that in turn is based on the Unity3D engine. Our dataset provides a set of images rendered from a given input scene, with the camera moving across a predefined path within the scene. This dataset captures a wide variety of lighting conditions through the implementation of a solar cycle. The dataset's ground truth is composed of the following elements: the 3D light direction and color intensity of the sun; the color intensity of the ambient light; the instance segmentation masks of each object and the surface normals map, in which each pixel is assigned with the 3D surface normal in that point (encoded as 3 color channels). By providing not only the light direction and intensity, but also the geometric and semantic information of the rendered images, our dataset can be used not only for light estimation, but also for more general tasks such as 3D geometry and shading estimation from 2D images.
在这项工作中，我们展示了一个新颖的数据集，包含39,086张高分辨率图像，旨在解决在远距离光照假设下3D光方向估计领域的数据稀缺问题。该数据集是使用我们的软件（该软件也已公开）生成的，而该软件又是基于Unity3D引擎的。我们的数据集提供了一组从给定输入场景渲染的图像，相机在场景内沿预定义路径移动。通过实现太阳周期，该数据集捕捉了各种各样的光照条件。该数据集的地面真值由以下元素组成：太阳的3D光方向和颜色强度；环境光的颜色强度；每个物体的实例分割掩码和表面法线贴图，其中每个像素在该点被分配3D表面法线（编码为3个颜色通道）。通过不仅提供光方向和强度，还提供渲染图像的几何和语义信息，我们的数据集不仅可用于光估计，还可用于更一般的任务，如从2D图像进行3D几何和阴影估计。
