Tanks and temples
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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.
Citation impact
1,532
total citations
- FWCI
- 17.56
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- 100%
- References
- 54
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Authors
4Topics & keywords
Topics
Keywords
- Benchmark (surveying)
- Computer science
- Pipeline transport
- Computer vision
- Ground truth
- Artificial intelligence
- Fidelity
- Point cloud
UN Sustainable Development Goals
- Sustainable cities and communities
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