水准点(测量)
计算机科学
管道运输
计算机视觉
基本事实
人工智能
忠诚
点云
三维重建
扫描仪
高保真
图像(数学)
计算机图形学(图像)
迭代重建
环境科学
工程类
地理
电信
地图学
电气工程
环境工程
作者
Arno Knapitsch,Jaesik Park,Qian-Yi Zhou,Vladlen Koltun
标识
DOI:10.1145/3072959.3073599
摘要
We present a benchmark for image-based 3D reconstruction. The benchmark sequences were acquired outside the lab, in realistic conditions. Ground-truth data was captured using an industrial laser scanner. The benchmark includes both outdoor scenes and indoor environments. High-resolution video sequences are provided as input, supporting the development of novel pipelines that take advantage of video input to increase reconstruction fidelity. We report the performance of many image-based 3D reconstruction pipelines on the new benchmark. The results point to exciting challenges and opportunities for future work.
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