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A Comparative Study of 3D Plant Modeling Systems Based on Low-Cost 2D LiDAR and Kinect

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dc.contributor.authorMurcia, Harold
dc.contributor.authorSanabria, David
dc.contributor.authorMéndez, Dehyro
dc.contributor.authorForero, Manuel G.
dc.date.accessioned2021-11-12T20:41:36Z
dc.date.available2021-11-12T20:41:36Z
dc.date.issued2021-05-16
dc.description.abstractMorphological information of plants is an essential resource for different agricultural machine vision applications, which can be obtained from 3D models through reconstruction algorithms. Three dimensional modeling of a plant is an XYZ spatial representation used to determine its physical parameters from, for example, a point cloud. Currently two low-cost methods have gained popularity in terms of 3D object reconstructions in 360 ∘ employing rotating platforms, based on 2D LiDAR and Kinect. In this paper, these two techniques are compared by getting a 3D model of a Dracaena braunii specie and evaluating their performance. The results are shown in terms of their accuracy and time consumption using a Kinect V1 and a LiDAR URG-04LX-UG01, a well-performance low-cost scanning rangefinder from Hokuyo manufacturer. In terms of error calculation, the Kinect-based system probed to be more accurate than the LiDAR-based, with an error less than 20% in all plant measurements. In addition, the point cloud density reached with Kinect was approximately four times higher than with LiDAR. But, acquisition and processing time was about twice than LiDAR system.es_CO
dc.description.sponsorshipUniversidad de Ibaguées_CO
dc.identifier.citationMurcia H., Sanabria D., Méndez D., Forero M.G. (2021) A Comparative Study of 3D Plant Modeling Systems Based on Low-Cost 2D LiDAR and Kinect. In: Roman-Rangel E., Kuri-Morales Á.F., Martínez-Trinidad J.F., Carrasco-Ochoa J.A., Olvera-López J.A. (eds) Pattern Recognition. MCPR 2021. Lecture Notes in Computer Science, vol 12725. Springer, Cham. https://doi.org/10.1007/978-3-030-77004-4_26es_CO
dc.identifier.issn0302-9743
dc.identifier.urihttps://link.springer.com/chapter/10.1007%2F978-3-030-77004-4_26
dc.language.isoenes_CO
dc.publisherLecture Notes in Computer Sciencees_CO
dc.subjectLow-costes_CO
dc.subjectPhenotypinges_CO
dc.subjectLiDARes_CO
dc.subjectKinectes_CO
dc.subjectPoint cloudses_CO
dc.subject3D modelinges_CO
dc.titleA Comparative Study of 3D Plant Modeling Systems Based on Low-Cost 2D LiDAR and Kinectes_CO
dc.typeArticlees_CO
dspace.entity.typePublication
eperson.emailharold.murcia@unibague.edu.coes_CO
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