SfM_3D_fruit_detection

DOI

Fruit detection and 3D location in photogrammetry-derived 3D point clouds. This project is a matlab implementation to project image detections (instance segmentation masks) onto 3D point clouds generated using structure-from-motion.

This software is stored and maintained in the following github repository: https://github.com/GRAP-UdL-AT/SfM_3D_fruit_detection

Identifier
DOI https://doi.org/10.34810/data2319
Related Identifier IsSupplementedBy https://doi.org/10.1016/j.compag.2019.105165
Related Identifier IsSupplementedBy https://doi.org/10.1016/j.dib.2020.105591
Metadata Access https://dataverse.csuc.cat/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.34810/data2319
Provenance
Creator Gené Mola, Jordi ORCID logo; Sanz Cortiella, Ricardo ORCID logo; Rosell Polo, Joan Ramon ORCID logo; Morros Rubió, Josep Ramon (ORCID: 0000-0002-1395-487X); Ruiz Hidalgo, Javier (ORCID: 0000-0001-6774-685X); Vilaplana Besler, Verónica ORCID logo; Gregorio López, Eduard ORCID logo
Publisher CORA.Repositori de Dades de Recerca
Contributor Gené Mola, Jordi; Universitat de Lleida; Centre de Recerca en Agrotecnologia
Publication Year 2025
Funding Reference Agencia Estatal de Investigación RTI2018-094222-B-I00 ; European Union ERDF, a way of making Europe
Rights MIT; info:eu-repo/semantics/openAccess; https://opensource.org/licenses/MIT
OpenAccess true
Contact Gené Mola, Jordi (Universitat de Lleida)
Representation
Resource Type Program source code; Dataset
Format text/x-matlab; application/octet-stream; text/plain; charset=US-ASCII; text/markdown; application/matlab-mat
Size 1202; 461; 4237; 1361; 2642; 43; 1067; 11186; 558; 2898; 37275
Version 1.0
Discipline Agricultural Sciences; Agriculture, Forestry, Horticulture, Aquaculture; Agriculture, Forestry, Horticulture, Aquaculture and Veterinary Medicine; Construction Engineering and Architecture; Engineering; Engineering Sciences; Life Sciences