| Nome |
# |
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Open-source image-based 3D reconstruction pipelines: review, comparison and evaluation, file ddb241a5-647e-ba8a-e053-3a05fe0afd55
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2.114
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Videogrammetry vs Photogrammetry for heritage 3D reconstruction, file ddb241a5-68cf-ba8a-e053-3a05fe0afd55
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812
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Towards real-time underwater photogrammetry for subsea metrology applications, file ddb241a5-6766-ba8a-e053-3a05fe0afd55
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323
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A benchmark for large-scale heritage point cloud semantic segmentation, file ddb241a5-6afa-ba8a-e053-3a05fe0afd55
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307
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Geometric feature analysis for the classification of cultural heritage point clouds, file ddb241a5-6d6b-ba8a-e053-3a05fe0afd55
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300
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From 2D to 3D supervised segmentation and classification for cultural heritage applications., file ddb241a5-5907-ba8a-e053-3a05fe0afd55
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291
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Quality features for the integration of terrestrial and UAV images, file ddb241a5-59f7-ba8a-e053-3a05fe0afd55
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262
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A multi-purpose benchmark for photogrammetric urban 3D reconstruction in a controlled environment, file ddb241a5-6569-ba8a-e053-3a05fe0afd55
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219
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Sparse point cloud filtering based on covariance features, file ddb241a5-7274-ba8a-e053-3a05fe0afd55
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203
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Cloud-based collaborative 3D reconstruction using smartphones, file ddb241a5-501c-ba8a-e053-3a05fe0afd55
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143
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Application of photogrammetry to brain anatomy, file ddb241a5-44af-ba8a-e053-3a05fe0afd55
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141
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Seeing among foliage with LiDAR and Machine Learning: towards a transferable archaeological pipeline, file ddb241a5-87c8-ba8a-e053-3a05fe0afd55
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141
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Refining the Joint 3D Processing of Terrestrial and UAV Images Using Quality Measures, file ddb241a5-7249-ba8a-e053-3a05fe0afd55
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123
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Mapping VIS and UVL imagery on 3D geometry for non-invasive, non-contact analysis of a vase, file ddb241a5-5f2e-ba8a-e053-3a05fe0afd55
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82
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The EuroSDR time benchmark for historical aerial images, file cf397c69-b287-48cf-8aee-4a31e162658e
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80
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Machine Learning Generalisation across Different 3D Architectural Heritage, file ddb241a5-7149-ba8a-e053-3a05fe0afd55
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68
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Geometric processing of very high-resolution satellite imagery: quality assessment for 3D mapping needs, file 148281b8-39e1-493c-ab10-8b07b407e068
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67
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PhotoMatch: an open-source multi-view and multi-modal feature matching tool for photogrammetric applications, file ddb241a5-724d-ba8a-e053-3a05fe0afd55
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67
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Aerial triangulation with learning-based tie points, file 113aa5f7-c89f-4b8e-94f1-6e9fd5b75d3c
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54
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Classification of 3D Digital Heritage, file ddb241a5-60b1-ba8a-e053-3a05fe0afd55
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51
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Semantically Derived Geometric Constraints for {MVS} Reconstruction of Textureless Areas, file ddb241a5-7f15-ba8a-e053-3a05fe0afd55
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49
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Handcrafted and learning-based tie point features-comparison using the EuroSDR RPAS benchmark datasets, file c8b2dcce-ee85-424d-a82c-450f348473d1
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46
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Unsupervised object-based clustering in support of supervised point-based 3D point cloud classification, file ddb241a5-7716-ba8a-e053-3a05fe0afd55
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42
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Uncertainty-Guided Depth Fusion from Multi-View Satellite Images to Improve the Accuracy in Large-Scale DSM Generation, file ddb241a5-8a4c-ba8a-e053-3a05fe0afd55
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40
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Unveiling large-scale historical contents with V-SLAM and markerless mobile AR solutions, file ddb241a5-8196-ba8a-e053-3a05fe0afd55
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38
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Geometric primitive extraction from semantically enriched point clouds, file ddb241a5-884e-ba8a-e053-3a05fe0afd55
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32
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3D virtualization of an underground semi-submerged cave system, file ddb241a5-6563-ba8a-e053-3a05fe0afd55
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31
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Methods, data and tools for facilitating a 3D cultural heritage space, file 6de827db-8098-44bd-bb56-54892cb2af8a
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27
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A Hierarchical Machine Learning Approach for Multi-Level and Multi-Resolution 3D Point Cloud Classification, file ddb241a5-7147-ba8a-e053-3a05fe0afd55
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27
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Comparing Machine and Deep Learning Methods for Large 3D Heritage Semantic Segmentation, file ddb241a5-806d-ba8a-e053-3a05fe0afd55
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27
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Handling critical aspects in massive photogrammetric digitazion of museum assets, file ddb241a5-8978-ba8a-e053-3a05fe0afd55
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27
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Evaluation of Vision-Based Localization and Mapping Techniques in a Subsea Metrology Scenario, file ddb241a5-66ea-ba8a-e053-3a05fe0afd55
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25
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Knowledge and valorization of historical sites through 3D documentation and modeling, file ddb241a5-7f3b-ba8a-e053-3a05fe0afd55
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22
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null, file c7b0596d-6157-42d0-9606-349126bdd6a6
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21
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Benchmarking the extraction of 3D geometry from UAV images with deep learning methods, file 0c0040be-fae5-4816-8e12-62191c2e31c4
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17
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A Smartphone-based pipeline for the creative industry - The REPLICATE project, file ddb241a5-4481-ba8a-e053-3a05fe0afd55
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17
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3D Reconstruction with a collaborative approach based on smartphones and a cloud-based server, file ddb241a5-5020-ba8a-e053-3a05fe0afd55
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15
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3D Surveying of Underground Built Heritage: Opportunities and Challenges of Mobile Technologies, file ddb241a5-8976-ba8a-e053-3a05fe0afd55
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14
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NeRFBK: a holistic dataset for benchmarking NeRF-based 3D reconstruction, file 157d990c-b481-4348-bb1c-a118b4203607
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13
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4D Building Reconstruction with Machine Learning and Historical Maps, file ddb241a5-7a1d-ba8a-e053-3a05fe0afd55
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12
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A V-SLAM Guided and Portable System for Photogrammetric Applications, file ddb241a5-83bc-ba8a-e053-3a05fe0afd55
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12
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Enhancing geometric edge details in MVS reconstruction, file ddb241a5-8850-ba8a-e053-3a05fe0afd55
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12
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Multi-view stereo with semantic priors, file ddb241a5-647c-ba8a-e053-3a05fe0afd55
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11
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Designing and Evaluating a Portable LiDAR-based SLAM system, file fab05f2d-0719-40ac-a4d7-76a96906bbac
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9
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From 3D surveying data to BIM to BEM: the InCUBE dataset, file b7444e62-2f67-4a5b-b7ff-a6b98e408395
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6
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Evaluating Monocular Depth Estimation methods, file 59deaed4-0e08-4728-bdd8-99ca4b3fc0a9
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5
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Colorizing the Past: Deep Learning for the Automatic Colorization of Historical Aerial Images, file 65da3577-da93-44f0-8984-3235243f380d
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5
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ENRICH: Multi-purposE dataset for beNchmaRking In Computer vision and pHotogrammetry, file 3ecea76f-db6c-46d8-a35c-cdff14fd4606
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4
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A semi-automated approach to model architectural elements in Scan-to-BIM processes, file 7bbf9264-a170-4d3e-9f4e-1ff93cd073ab
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3
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Comparison of low-cost handheld LiDAR-based SLAM systems for mapping underground tunnels, file b81741b8-4b1e-43e1-96ce-ddc400f1a68f
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3
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Sensor- and scene-guided integration of TLS and photogrammetric point clouds for landslide monitoring, file ddb241a5-5d43-ba8a-e053-3a05fe0afd55
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2
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Photogrammetry of the Human Brain: A Novel Method for Three-Dimensional Quantitative Exploration of the Structural Connectivity in Neurosurgery and Neurosciences, file ddb241a5-5fb5-ba8a-e053-3a05fe0afd55
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2
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On Image Enhancement for Unsupervised Image Description and Matching, file ddb241a5-71f9-ba8a-e053-3a05fe0afd55
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2
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Comprehensive evaluation of image enhancement for unsupervised image description and matching, file ddb241a5-796e-ba8a-e053-3a05fe0afd55
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2
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A Cost-effective 3D Photogrammetric Approach for Semi-submerged Caves, file ddb241a5-7ea4-ba8a-e053-3a05fe0afd55
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2
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Dimensional discoveries: unveiling the potential of 3D heritage point clouds with a robust ontology framework, file 3f8a2e3f-752a-4075-be80-38095496378c
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1
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Cloud-base solution for nationwide power line mapping, file ddb241a5-5de2-ba8a-e053-3a05fe0afd55
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1
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When Photogrammetry Meets Lidar: Towards the Airborne Hybrid Era, file ddb241a5-656b-ba8a-e053-3a05fe0afd55
|
1
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Quality-based registration refinement of airborne LiDAR and photogrammetric point clouds, file ddb241a5-763e-ba8a-e053-3a05fe0afd55
|
1
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| Totale |
6.474 |