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Tanks and temples: benchmarking large-scale scene reconstruction

Knapitsch, Arno ; Park, Jaesik ; Zhou, Qian-Yi ; Koltun, Vladlen

ACM transactions on graphics, 2017-08, Vol.36 (4), p.1-13 [Periódico revisado por pares]

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Título:
Tanks and temples: benchmarking large-scale scene reconstruction
Autor: Knapitsch, Arno ; Park, Jaesik ; Zhou, Qian-Yi ; Koltun, Vladlen
É parte de: ACM transactions on graphics, 2017-08, Vol.36 (4), p.1-13
Descrição: 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.
Idioma: Inglês

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