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Tanks and temples: Benchmarking large-scale scene reconstruction
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Knapitsch, Arno | - |
dc.contributor.author | Park, Jaesik | - |
dc.contributor.author | Zhou, Qian-Yi | - |
dc.contributor.author | Koltun, Vladlen | - |
dc.date.accessioned | 2024-05-09T04:13:49Z | - |
dc.date.available | 2024-05-09T04:13:49Z | - |
dc.date.created | 2024-05-09 | - |
dc.date.created | 2024-05-09 | - |
dc.date.issued | 2017-07 | - |
dc.identifier.citation | ACM Transactions on Graphics, Vol.36 No.4 | - |
dc.identifier.issn | 0730-0301 | - |
dc.identifier.uri | https://hdl.handle.net/10371/201317 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.publisher | Association for Computing Machinary, Inc. | - |
dc.title | Tanks and temples: Benchmarking large-scale scene reconstruction | - |
dc.type | Article | - |
dc.identifier.doi | 10.1145/3072959.3073599 | - |
dc.citation.journaltitle | ACM Transactions on Graphics | - |
dc.identifier.wosid | 000406432100046 | - |
dc.identifier.scopusid | 2-s2.0-85030787895 | - |
dc.citation.number | 4 | - |
dc.citation.volume | 36 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Park, Jaesik | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordAuthor | Structure from motion | - |
dc.subject.keywordAuthor | multi-view stereo | - |
dc.subject.keywordAuthor | image-based reconstruction | - |
dc.subject.keywordAuthor | large-scale scene reconstruction | - |
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