论文标题
多视图3D重建的多传感器大规模数据集
Multi-sensor large-scale dataset for multi-view 3D reconstruction
论文作者
论文摘要
我们提供了一个新的多视图3D表面重建的多传感器数据集。它包括来自不同分辨率和模式传感器的注册RGB和深度数据：智能手机，Intel Realsense，Microsoft Kinect，工业摄像头和结构化灯光扫描仪。选择这些场景是为了强调对现有算法挑战的各种材料属性集。我们提供了大约140万张从14个照明条件下从100个观看方向获得的107个不同场景的图像。我们预计我们的数据集将用于评估和培训3D重建算法和相关任务。该数据集可在Skoltech3d.appliedai.tech上找到。
We present a new multi-sensor dataset for multi-view 3D surface reconstruction. It includes registered RGB and depth data from sensors of different resolutions and modalities: smartphones, Intel RealSense, Microsoft Kinect, industrial cameras, and structured-light scanner. The scenes are selected to emphasize a diverse set of material properties challenging for existing algorithms. We provide around 1.4 million images of 107 different scenes acquired from 100 viewing directions under 14 lighting conditions. We expect our dataset will be useful for evaluation and training of 3D reconstruction algorithms and for related tasks. The dataset is available at skoltech3d.appliedai.tech.
