Scinovex
articleTop 1% cited

Tanks and temples

ACM Transactions on Graphics · 2017 · Vol. 36(4) · pp. 1–13
Arno KnapitschJaesik ParkQian-Yi ZhouVladlen Koltun

Abstract

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.

Advanced Vision and ImagingRobotics and Sensor-Based Localization3D Surveying and Cultural HeritageBenchmark (surveying)Computer sciencePipeline transportComputer visionGround truthArtificial intelligenceFidelityPoint cloud3D reconstructionScanner
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1,452
FWCI
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References
Modeling the World from Internet Photo Collections
International Journal of Computer Vision · 2007 · 2,152 citations
Accurate, Dense, and Robust Multiview Stereopsis
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2009 · 2,987 citations
Direct Sparse Odometry
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2017 · 2,861 citations
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Tanks and temples · Scinovex