Supporting data for: "Object registration techniques for 3D particle tracking"
DOI:10.4121/a2e5b234-cd95-4749-84b2-0f96937ae3cf.v1
        
    
    The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future.
            For a link that will always point to the latest version, please use
DOI: 10.4121/a2e5b234-cd95-4749-84b2-0f96937ae3cf
    DOI: 10.4121/a2e5b234-cd95-4749-84b2-0f96937ae3cf
Datacite citation style
Hendriksen, Luuk; Andrea Sciacchitano; Scarano, F. (Fulvio) (2025): Supporting data for: "Object registration techniques for 3D particle tracking". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a2e5b234-cd95-4749-84b2-0f96937ae3cf.v1
        Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
    Dataset
Time resolved 3D Lagrangian particle tracking data around a 10 cm wall-mounted cube model at a Reynold's number of approximately 80,000. The experiment was performed to test a new implementation of object registration and object aware Lagrangian particle tracking (OA-LPT) in which a description of the 3D object is used to account for camera occlusion within the measurement volume.
History
- 2025-05-06 first online, published, posted
Publisher
4TU.ResearchDataFormat
dat, STLAssociated peer-reviewed publication
Object registration techniques for 3D particle trackingOrganizations
TU Delft, Faculty of Aerospace Engineering, Department of Flow Physics and TechnologyDATA
Files (3)
- 1,991 bytesMD5:f15b0eeaa4a66d54c80d9c32ebf408e5README.txt
- 684 bytesMD5:d6d29257a60f566e8fe4bb9f62275d71Cube12cm.stl
- 5,209,260,145 bytesMD5:bb1ed743e8594710a8a3911747239e52Cube12cm_5000dt_tracks.zip
- 
                    download all files (zip)
                5,209,262,820 bytes unzipped





