دورية أكاديمية
ASPPMVSNet: A high‐receptive‐field multiview stereo network for dense three‐dimensional reconstruction
| العنوان: | ASPPMVSNet: A high‐receptive‐field multiview stereo network for dense three‐dimensional reconstruction |
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| المؤلفون: | Saleh Saeed, Sungjun Lee, Yongju Cho, Unsang Park |
| المصدر: | ETRI Journal, Vol 44, Iss 6, Pp 1034-1046 (2022) |
| بيانات النشر: | Electronics and Telecommunications Research Institute (ETRI), 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Telecommunication LCC:Electronics |
| مصطلحات موضوعية: | 3d reconstruction, atrous spatial pyramid pooling, deep learning, depth estimation, multimedia, Telecommunication, TK5101-6720, Electronics, TK7800-8360 |
| الوصف: | The learning‐based multiview stereo (MVS) methods for three‐dimensional (3D) reconstruction generally use 3D volumes for depth inference. The quality of the reconstructed depth maps and the corresponding point clouds is directly influenced by the spatial resolution of the 3D volume. Consequently, these methods produce point clouds with sparse local regions because of the lack of the memory required to encode a high volume of information. Here, we apply the atrous spatial pyramid pooling (ASPP) module in MVS methods to obtain dense feature maps with multiscale, long‐range, contextual information using high receptive fields. For a given 3D volume with the same spatial resolution as that in the MVS methods, the dense feature maps from the ASPP module encoded with superior information can produce dense point clouds without a high memory footprint. Furthermore, we propose a 3D loss for training the MVS networks, which improves the predicted depth values by 24.44%. The ASPP module provides state‐of‐the‐art qualitative results by constructing relatively dense point clouds, which improves the DTU MVS dataset benchmarks by 2.25% compared with those achieved in the previous MVS methods. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1225-6463 |
| Relation: | https://doaj.org/toc/1225-6463 |
| DOI: | 10.4218/etrij.2021-0305 |
| URL الوصول: | https://doaj.org/article/165993ebb05c4d90a654946e04ab88a1 |
| رقم الأكسشن: | edsdoj.165993ebb05c4d90a654946e04ab88a1 |
| قاعدة البيانات: | Directory of Open Access Journals |
Full Text Finder | تدمد: | 12256463 |
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| DOI: | 10.4218/etrij.2021-0305 |