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ENRICH: multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry

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Mendeley Data2024-03-27 更新2024-06-27 收录
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https://board.unimib.it/datasets/md7f7c5pzn
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A new synthetic, multi-purpose dataset - called ENRICH - for testing photogrammetric and computer vision algorithms. Compared to existing datasets, ENRICH offers higher resolution images also rendered with different lighting conditions, camera orientation, scales, and field of view. Specifically, ENRICH is composed of three sub-datasets: ENRICH-Aerial, ENRICH-Square, and ENRICH-Statue, each exhibiting different characteristics. The proposed dataset is useful for several photogrammetry and computer vision-related tasks, such as the evaluation of hand-crafted and deep learning-based local features, effects of ground control points (GCPs) configuration on the 3D accuracy, and monocular depth estimation. Each zip file in the root is relative to a specific dataset: - ENRICH-Aerial, is an aerial image block of the city of Launceston, Australia. The acquisition is performed by simulating a typical oblique aerial camera with five views (nadir and four oblique views). - ENRICH-Square, is a ground-level dataset of a square captured by four cameras, each one moving on a different path with different focal length, orientation, and lighting conditions. - ENRICH-Statue, is a ground-level dataset portraying a statue (placed in the center of the ENRICH-Square scene), acquired using four cameras moving on different paths with different focal lengths, orientations, and lighting conditions. Be sure to check the README file in the dataset root for information on folder structure and file contents. Please refer to the related paper (https://doi.org/10.1016/j.isprsjprs.2023.03.002) for information about the generation method and the purpose of ENRICH.

一款全新的合成式多用途数据集ENRICH,专为摄影测量与计算机视觉算法的测试验证而设计。相较于现有数据集,ENRICH不仅提供高分辨率图像,还可生成具备不同光照条件、相机位姿、缩放比例与视场范围的渲染样本。 具体而言,ENRICH包含三个子数据集:ENRICH-Aerial、ENRICH-Square与ENRICH-Statue,各数据集均具备独特的应用特性。 本数据集可适用于多项摄影测量与计算机视觉相关任务,例如手工设计与基于深度学习的局部特征评估、地面控制点(ground control points, GCPs)配置对三维重建精度的影响分析,以及单目深度估计任务。 根目录下的每个压缩包均对应一个特定子数据集: - ENRICH-Aerial:澳大利亚朗塞斯顿市的航空影像块数据集。该数据集通过模拟典型倾斜航空相机进行采集,共包含5个视角(1个天顶视角与4个倾斜视角)。 - ENRICH-Square:广场地面级数据集,由4台相机完成采集,每台相机沿不同路径运动,且具备不同焦距、位姿与光照条件。 - ENRICH-Statue:雕像地面级数据集,采集对象为放置于ENRICH-Square场景中心的雕像,同样由4台沿不同路径运动的相机采集,各相机具备不同焦距、位姿与光照条件。 请务必查阅数据集根目录下的README文件,以了解文件夹结构与文件内容详情。 如需了解ENRICH的生成方法与应用场景,请参阅相关论文(https://doi.org/10.1016/j.isprsjprs.2023.03.002)。
创建时间:
2024-01-23
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