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Endoscopic Videos for SLAM Evaluation

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arXiv2025-09-30 收录
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https://github.com/lppllppl920/SAGE-SLAM.git
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资源简介:
该数据集包含了来自多个受试者的内窥镜视频,用于评估所提议的同时定位与地图构建(SLAM)系统在相机轨迹和密集深度重建方面的性能。数据集还包括了基于注册表面模型的相机轨迹评估、深度估计和表面重建精度的一系列指标。此外,该数据集还使用了4具尸体进行表面重建精度的评估工作。总之,这项任务旨在对SLAM系统的性能进行全面评估。

This dataset comprises endoscopic videos from multiple human subjects, which is used to evaluate the performance of the proposed Simultaneous Localization and Mapping (SLAM) system in terms of camera trajectory and dense depth reconstruction. It also includes a series of metrics for camera trajectory evaluation, depth estimation accuracy and surface reconstruction accuracy based on registered surface models. Additionally, four human cadavers were employed in this dataset for the assessment of surface reconstruction accuracy. In summary, this task aims to conduct a comprehensive performance evaluation of SLAM systems.
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