2017/07/20 by Arno Knapitsch, Jaesik Park, Qian-Yi Zhou +1 · 46 citations
Computer Science · Earth and Planetary Sciences · Engineering · #3D Surveying and Cultural Heritage #Advanced Vision and Imaging #Robotics and Sensor-Based Localization
paper · doi:10.1145/3072959.3073599
openalex publication_date 2017/07/20 · openalex created_date 2017/07/31 · openalex updated_date 2026/07/31
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.