Active-Passive SimStereo

The Active-Passive SimStereo dataset is a simulated dataset created with blender containing high quality both realistic and abstract looking images. Each image pair is rendered in classic RGB domain, as well as Near-Infrared with an active pattern. It is meant to be used as a dataset to study domain transfert between active and passive stereo vision, as well as providing a high quality active stereo dataset, which are far less common than passive stereo datasets.

主动-被动式SimStereo数据集（Active-Passive SimStereo dataset）是一款采用Blender搭建生成的模拟数据集，涵盖兼具写实质感与抽象风格的高质量图像。每一组图像对均会在经典RGB域，以及搭载主动投影图案的近红外（Near-Infrared）域中完成渲染。本数据集既可用于研究主动与被动立体视觉间的域迁移问题，亦可作为高质量主动立体视觉数据集使用——此类主动立体视觉数据集的稀缺程度远高于被动立体视觉数据集。