Trinity College Dublin Drone Survey Dataset
File Type:
UnknownItem Type:
DatasetDate:
2017Author:
Access:
openAccessCitation:
J. Byrne, J. Connelly, J. Su, V. Krylov, M. Bourke, D. Moloney & R. Dahyot, Trinity College Dublin Drone Survey Dataset, 2017, School of Computer Science & Statistics, Trinity College Dublin, 2017Download Item:
3d_mesh.zip (3D model) 343.0Mb
point_cloud.zip (Data points used to create the 3D mesh model) 361.5Mb
Images 1.zip (Collection of approximately 800 images, Part 1, Images 1-200) 909.1Mb
Images 2.zip (Collection of approximately 800 images, Part 2, Images 200-400) 958.1Mb
Images 3.zip (Collection of approximately 800 images, Part 3, Images 400-600) 960.7Mb
Images 4.zip (Collection of approximately 800 images, Part 4, Images 600-800) 1.218Gb
tcd3dintelmovidius2017-drone-imagery[2].pdf (Technical Report) 1.558Mb
DJI_0473.JPG (JPEG image) 5.376Mb
Abstract:
The dataset consists of 6 Zipped files and a Technical Report detailing the project. The original images from the drone survey are contained in the files names Images 1, Images 2, Images 3 and Images 4. The 3D mesh model files are contained in the file named 3d_mesh. The data points for the point cloud are contained in the file named point_cloud.
A visualisation of the 3D point cloud can be created using Potree: a free opensource
webgl based point cloud renderer for large point clouds,” http://potree.org
Author's Homepage:
http://people.tcd.ie/dahyotrhttp://people.tcd.ie/bourkem4
Description:
PUBLISHED
Author: DAHYOT, ROZENN; BOURKE, MARY; Byrne, Jonathan; Connolly, Julie; Su, Jing; Moloney, David; Krylov, Vladimir
Publisher:
School of Computer Science & Statistics, Trinity College DublinType of material:
DatasetCollections:
Series/Report no:
NAvailability:
Full text availableKeywords:
Drone, Dataset, 3D model, 3D point cloudSubject (TCD):
Creative Technologies , Intelligent Content & CommunicationsEdition:
2017Licences: