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39 results for “SfM”
Crowd-sourced SfM: Best practices for high resolution monitoring of coastal cliffs and bluffs
Open the record for dataset details and reuse information.
Coastal bluff point clouds derived from SfM near Elwha River mouth, Washington from 2016-04-18 to 2020-05-08
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Example dataset of soil horizons investigated using SFM in Mauguio (France)
<p>Excavations of a pit soil were assessed using SfM (Structure-From-Motion) with MVS (Multi-view Stereophotogrammetry) approach to create 3D clouds of the soil horizon before and after excavations.</p>
image data produced by UAVS-SfM
<p>The deataset includs the Digital Surface Model(DOM) and Digital Surface Models(DSM) in different periods(2019.03,2019.07,2020.01,2020.05,2020.08), which were generated using 3D modeling software after continuous field monitoring. Based on this dataset, we quantified the movement law and deformation degree of barchan dunes.</p>
3DPC Fontcalent via SfM and ALS 1993 - 2009 - 2014
<p>3DPC of the <a href="https://www.google.com/maps/@38.3544949,-0.5781464,6877m/data=!3m1!1e3">Fontcalent mountain in Alicante</a>, Spain. There are three point clouds:</p> <ol> <li>Year 1993, 3DPC from aerial photos reconstructed via SfM using ground control points extracted from 2.</li> <li>Year 2009, 3DPC captured via an ALS, downloaded from the IGN website, thanks to the PNOA project</li> <li>Year 2014, 3DPC from aerial photos reconstructed via SfM using ground control points extracted from 2</li> </ol> <p>The datasets were used <a href="https://www.sciencedirect.com/science/article/pii/S0169555X19300030">here</a>.</p>
Dataset of images SfM - FRM - Lighting and Artificial texture
<p>This collection of images was employed to examine the impact of various configurations in the 3D modeling process for short-distance environments. This analysis established settings to achieve submillimeter accuracy in the RMSE values of the analyzed points. </p> <p>Set of images used to evaluate the use of light aids (softboxes) and artificial textures in a short-distance environment. This set was used to evaluate the configurations and the possibility of using the SfM technique in the 3D modeling of structural tests. Test specimens used (Concrete, Metal and Wood)—artificial texture in white Chalk (on Concrete and Wood) and red marker (on metal).<br>Texture patterns were drawn in a checkerboard fashion (T1) and a more closed checkerboard shape (T2).</p> <p>Images in CR3 - Conversion to TIFF or JPG required for use and processing in Agisoft Metashape.</p>
Fuji-SfM dataset
<p>The Fuji-SfM dataset includes: (1) a set of 288 colour images and the corresponding annotations (apples segmentation masks) for training instance segmentation neural networks such as Mask-RCNN; (2) a set of 582 images defining a motion sequence of the scene which was used to generate the 3D model of 11 Fuji apple trees containing 1455 apples by using SfM; (3) the 3D point cloud of the scanned scene with the corresponding apple positions ground truth in global coordinates.<br> This data allows the development, training, and test of fruit detection algorithms either based on RGB images, on coloured point clouds or on the combination of both types of data.</p>
Malthi2015_SfM_ProcessedOutputs
<p>Malthi provides a nearly unique example of a fully excavated Middle Hellenic (MH) settlement. The excavated remains include a series of houses, storage facilities, entrance ways, and possible public architecture, enclosed by a settlement wall. Malthi is perhaps the first MH site at which a major restructuring of the settlement architecture was observed, as proposed by Valmin. The PIs research focuses on the socio-cultural motivations for the decision to make substantial revisions to the urban layout, as well as impacts on the life of the settlement and the surrounding area. PIs Rebecca Worsham, Prof. Donald Haggis, and Prof. Michael Lindblom collaborated with SPARC researchers to produce an accurate and analysis-ready plan of the exposed standing remains and a digital elevation model (DEM) of the settlement at Malthi, using a combination of scanning and structure from motion techniques. </p> <p>This work was embedded in a larger project, and aimed to reconsider the architecture of the site including prior identifications of room types (by Valmin), and to attempt to identify coherent buildings. This improved survey, mapping and interpretation exercise was intended to support a rethinking about the settlement’s organization, and re-organization, as a whole. The production of a local DEM of the site was intended to aid in a consideration of access routes and forms a starting point for establishing the role of Malthi in the larger Soulima Valley network, which may function as a major corridor.</p> <p>This upload contains the Structure from Motion (SfM) processed outputs created during the Malthi project in 2015. See the Index file for a list of files and folders.</p>
Dataset of images SfM - FRM - Lighting and Artificial texture - JPG
<p>This collection of images was employed to examine the impact of various configurations in the 3D modeling process for short-distance environments. This analysis established settings to achieve submillimeter accuracy in the RMSE values of the analyzed points. </p> <p>Set of images used to evaluate the use of light aids (softboxes) and artificial textures in a short-distance environment. This set was used to evaluate the configurations and the possibility of using the SfM technique in the 3D modeling of structural tests. Test specimens used (Concrete, Metal and Wood)—artificial texture in white Chalk (on Concrete and Wood) and red marker (on metal).<br>Texture patterns were drawn in a checkerboard fashion (T1) and a more closed checkerboard shape (T2).</p> <p>Images in JPG without compression.</p>
Nämforsen, Laxön C1 Ådals-Liden 193. Drönare_Sfm
Nämforsen, Laxön C1 mfl, Ådals-Liden 193, Ångermanland. Drönare och SfM/CBn. For more information see www.namforsen.com and www.shfa.se Source: Objaverse 1.0 / Sketchfab
Nämforsen Laxön D1 mfl, Ådals-Liden. Drönare_SfM
Nämforsen, Laxön D1 mfl. Ådals-Liden 193, Ångermanland. Drönare och SfM/CBn. For more information see www.namforsen.com and www.shfa.se Source: Objaverse 1.0 / Sketchfab
Tombstone 1 - SfM to Sketchfab Export
Tombstone of Frances Cleveland - Wife of Bernard Mallon (Sept. 12, 1835 - June 27, 1891) from Historic Oakland Cemetery, Atlanta GA Source: Objaverse 1.0 / Sketchfab
Nämforsen, Brådön B4, Ådals-Liden 193. SFM
Nämforsen, Brådön, Hallström_B4, Ådals-Liden 193, Ångermanland. SFM. For more information see www.namforsen.com and www.shfa.se Source: Objaverse 1.0 / Sketchfab
41VV0218 LV2 BISONMANDIBLES SFM FINAL
This SfM model is one of a three part glimpse into archaeology and the process of excavation from Bonfire Shelter in the Lower Pecos region of Texas. Bonfire Shelter is the earliest and southernmost Native bison jump in North America. This mass of bone to the left and underneath the large boulder is a grouping of Bison antiquis (extinct bison) bones and mandibles (lower jaw). The large boulder in the model might have been used by humans as an anvil to break open the bison longbones for marrow extraction. The SfM model following this one shows the excavation starting from the sediment deposit above, down to this level. Source: Objaverse 1.0 / Sketchfab
Early Feasibility Study: Assessment of Self-Forming Magnetic Anastomosis Device and Delivery System (SFM) in Obese Patients, When Used to Create a Duodenal-Ileal Anastomosis Post SG (SNAP-PS), or Used
ClinicalTrials.gov study NCT06200896. IPD Sharing: NO. Countries: 1. Publications: 0.
Early Feasibility for Safety & Device Functionality of SFM Anastomosis Device Used in 3 Procedures (SNAP-S) or (SNAP-PS) or (J-J)
ClinicalTrials.gov study NCT06199635. IPD Sharing: NO. Countries: 2. Publications: 0.
Initial Safety of SFM Plus OTOLoc for Creating Side-to-side or End-to-side Colorectal Anastomoses
ClinicalTrials.gov study NCT07276529. IPD Sharing: NO. Countries: 1. Publications: 0.
SFM Kalkbrennofen aus Kempraten Teil 1
<p><strong>Structure for Motion des Kalkbrennofens aus Kempraten (Seetal)</strong></p> <p>Der Kalkbrennofen wurde während der Grabung Seetal 2021/2022 in Kempraten ausgegraben. Der Ofen wurde noch nicht publiziert oder ausgewertet. Erwähnt wurde er im Jahresbericht der Kantonsarchäologie 2021, S.187-188 (https://www.sg.ch/content/dam/sgch/kultur/archaeologie/jahresberichte-archaeologie/Arch%C3%A4ologischer%20Jahresbericht%202021.pdf). Weitere Informationen im Dokument "Bericht_Kalkbrennofen".</p> <p>Beim Teil 1 ist die Charge des Ofens noch drinnen. </p> <p> </p> <p>Inhalt: </p> <p><em><strong>Bericht_Kalkbrennofen.pdf </strong></em> Bericht zur Entstehung und Probleme des Modelles</p> <p><em><strong>Bilder_Teil_1.rar</strong></em> Alle Fotos (JPG-Format)</p> <p><em><strong>DEM_Teil_1.tif </strong></em> Höhenmodell des Ofens</p> <p><em><strong>Kalkbrennofen_Teil_1.rar </strong></em> 3D-Modell mit Textur (OBJ/MTL/JPG-Datei)</p> <p><em><strong>Kalkbrennofen_Teil_1_reduced.rar </strong></em> Reduzierte Version 3D-Modell mit Textur (OBJ/MTL/JPG-Datei)</p> <p><em><strong>Koordinaten_Targets.xlsx </strong></em> Landeskoordinaten der einzelnen Targets (CH LV95)</p> <p><em><strong>Mesh_Teil_1.rar </strong></em> Mesh (OBJ-Datei) und MTL-Datei</p> <p><em><strong>Orthofoto_1.tif </strong></em> Orthofoto mit Koordinaten (TIFF-Datei)</p> <p><strong><em>Report_Kalkbrennofen_Teil_1.pdf </em></strong> Automatisch generierter Bericht von Agisoft Metashape</p> <p> </p> <p> </p>
SFM Kalkbrennofen aus Kempraten Teil 2
<p><strong>Structure for Motion des römischer Kalkbrennofen aus Kempraten </strong></p> <p>Teil 2 ist das Modell ohne Charge</p> <p>Der Kalkbrennofen wurde während der Grabung Seetal 2021/2022 in Kempraten ausgegraben. Der Ofen wurde noch nicht publiziert oder ausgewertet. Erwähnt wurde er im Jahresbericht der Kantonsarchäologie 2021, S.187-188 (https://www.sg.ch/content/dam/sgch/kultur/archaeologie/jahresberichte-archaeologie/Arch%C3%A4ologischer%20Jahresbericht%202021.pdf). Weitere Informationen in der Datei "Bericht_Kalkbrennofen".</p> <p> </p> <p>Inhalt: </p> <p><em><strong>Bericht_Kalkbrennofen.pdf </strong></em> Bericht zur Entstehung und Probleme des Modelles</p> <p><strong>DEM_Teil_2.tif </strong> Höhenmodell des Ofens</p> <p><em><strong>Fotos_Teil_2.rar </strong></em> Alle Fotos (JPG-Format)</p> <p><em><strong>Kalkbrennofen_Teil_2.rar </strong></em> 3D-Modell mit Textur (OBJ/MTL/JPG-Datei)</p> <p><em><strong>Kalkbrennofen_Teil_2_reduced.rar </strong></em> Reduzierte Version 3D-Modell mit Textur (OBJ/MTL/JPG-Datei)</p> <p><em><strong>Koordinaten_Targets.xlsx</strong></em> Landeskoordinaten der einzelnen Targets</p> <p><em><strong>Mesh_Teil_2.rar </strong></em> Mesh (OBJ-Datei) und MTL-Datei</p> <p><em><strong>Orthofoto_2.tif </strong></em> Orthofoto mit Koordinaten (TIFF-Datei)</p> <p><em><strong>Report_Kalkbrennofen_Teil_2.pdf</strong></em> Automatisch generierter Bericht von Agisoft Metashape</p> <p> </p>
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OpenNeuro
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