PROX
收藏arXiv2025-09-30 收录
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https://sanweiliti.github.io/LEMO/LEMO.html
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资源简介:
该数据集名为PROX,收集了20位受试者与12个不同室内场景互动时的单目RGB-D序列,使用的是Kinect One传感器。这些序列以每秒30帧的速度捕捉,同时提供了静态场景的三维重建数据。该数据集的规模属于中等(包含20位受试者和12个场景),其任务是对模型和优化算法进行评估。
This dataset is named PROX. It includes monocular RGB-D sequences captured from 20 subjects interacting with 12 distinct indoor scenes via a Kinect One sensor. These sequences are recorded at 30 frames per second, accompanied by 3D reconstruction data of the static scenes. With a moderate scale (involving 20 subjects and 12 scenes), this dataset is intended for the evaluation of models and optimization algorithms.
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