Using depth cameras for biomass estimation - a multi-angle approach

The multi-angle plant reconstruction obtained from sensors such as Microsoft Kinect creates realistic models. However a full 3D reconstruction from every angle is not possible at present under field conditions. When an on-the-go measurement is taken, the sensor must be fixed at a vehicle and its bes...

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Autores: Andújar, Dionisio, Escolà, Anna, Rosell-Polo, Joan R., Ribeiro Seijas, Ángela, San Martín, Carolina, Fernández-Quintanilla, César, Dorado, José
Tipo de recurso: otro
Estado:Versión aceptada para publicación
Fecha de publicación:2015
País:España
Institución:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/130448
Acceso en línea:http://hdl.handle.net/10261/130448
Access Level:acceso abierto
Palabra clave:Depth cameras
Kinect
Angle of view
Biomass assessment
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spelling Using depth cameras for biomass estimation - a multi-angle approachAndújar, DionisioEscolà, AnnaRosell-Polo, Joan R.Ribeiro Seijas, ÁngelaSan Martín, CarolinaFernández-Quintanilla, CésarDorado, JoséDepth camerasKinectAngle of viewBiomass assessmentThe multi-angle plant reconstruction obtained from sensors such as Microsoft Kinect creates realistic models. However a full 3D reconstruction from every angle is not possible at present under field conditions. When an on-the-go measurement is taken, the sensor must be fixed at a vehicle and its best position needs to be determined. The objective of this study was to assess the possibilities of the Microsoft Kinect for Windows v1 sensor to quantify the biomass of poplar trees using different angles from a stationary position, in other words, to explore the best location of the sensor with respect to the trees. For this purpose, readings were obtained by placing the sensor at one meter from the tree, comparing four different view angles: top view (0º), 45º, perpendicular (90º) and ground (-45º). Good correlations between dry biomass and calculated plant surface area from measured raw data were found. The comparison of the different view angles revealed that top view showed poorer results due to top leaves occluding lower leaves. However, the other views led to good results. Consequently, the Microsoft Kinect for Windows v1 sensor provides reliable information about crop biomass.This research was funded by the Spanish CICYT (Project No. AGL2011-25243)Peer ReviewedWageningen Academic PublishersComisión Interministerial de Ciencia y Tecnología, CICYT (España)Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]20152016info:eu-repo/semantics/otherhttp://purl.org/coar/resource_type/c_3248Postprintinfo:eu-repo/semantics/acceptedVersioninfo:eu-repo/semantics/bookParthttp://hdl.handle.net/10261/130448reponame:DIGITAL.CSIC. Repositorio Institucional del CSICinstname:Consejo Superior de Investigaciones Científicas (CSIC)Inglés#PLACEHOLDER_PARENT_METADATA_VALUE#CICYT/AGL2011/25243Síinfo:eu-repo/semantics/openAccessoai:digital.csic.es:10261/1304482026-05-22T06:33:51Z
dc.title.none.fl_str_mv Using depth cameras for biomass estimation - a multi-angle approach
title Using depth cameras for biomass estimation - a multi-angle approach
spellingShingle Using depth cameras for biomass estimation - a multi-angle approach
Andújar, Dionisio
Depth cameras
Kinect
Angle of view
Biomass assessment
title_short Using depth cameras for biomass estimation - a multi-angle approach
title_full Using depth cameras for biomass estimation - a multi-angle approach
title_fullStr Using depth cameras for biomass estimation - a multi-angle approach
title_full_unstemmed Using depth cameras for biomass estimation - a multi-angle approach
title_sort Using depth cameras for biomass estimation - a multi-angle approach
dc.creator.none.fl_str_mv Andújar, Dionisio
Escolà, Anna
Rosell-Polo, Joan R.
Ribeiro Seijas, Ángela
San Martín, Carolina
Fernández-Quintanilla, César
Dorado, José
author Andújar, Dionisio
author_facet Andújar, Dionisio
Escolà, Anna
Rosell-Polo, Joan R.
Ribeiro Seijas, Ángela
San Martín, Carolina
Fernández-Quintanilla, César
Dorado, José
author_role author
author2 Escolà, Anna
Rosell-Polo, Joan R.
Ribeiro Seijas, Ángela
San Martín, Carolina
Fernández-Quintanilla, César
Dorado, José
author2_role author
author
author
author
author
author
dc.contributor.none.fl_str_mv Comisión Interministerial de Ciencia y Tecnología, CICYT (España)
Consejo Superior de Investigaciones Científicas [https://ror.org/02gfc7t72]
dc.subject.none.fl_str_mv Depth cameras
Kinect
Angle of view
Biomass assessment
topic Depth cameras
Kinect
Angle of view
Biomass assessment
description The multi-angle plant reconstruction obtained from sensors such as Microsoft Kinect creates realistic models. However a full 3D reconstruction from every angle is not possible at present under field conditions. When an on-the-go measurement is taken, the sensor must be fixed at a vehicle and its best position needs to be determined. The objective of this study was to assess the possibilities of the Microsoft Kinect for Windows v1 sensor to quantify the biomass of poplar trees using different angles from a stationary position, in other words, to explore the best location of the sensor with respect to the trees. For this purpose, readings were obtained by placing the sensor at one meter from the tree, comparing four different view angles: top view (0º), 45º, perpendicular (90º) and ground (-45º). Good correlations between dry biomass and calculated plant surface area from measured raw data were found. The comparison of the different view angles revealed that top view showed poorer results due to top leaves occluding lower leaves. However, the other views led to good results. Consequently, the Microsoft Kinect for Windows v1 sensor provides reliable information about crop biomass.
publishDate 2015
dc.date.none.fl_str_mv 2015
2016
dc.type.none.fl_str_mv info:eu-repo/semantics/other
http://purl.org/coar/resource_type/c_3248
Postprint
info:eu-repo/semantics/acceptedVersion
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format other
status_str acceptedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10261/130448
url http://hdl.handle.net/10261/130448
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv #PLACEHOLDER_PARENT_METADATA_VALUE#
CICYT/AGL2011/25243
Sí
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Wageningen Academic Publishers
publisher.none.fl_str_mv Wageningen Academic Publishers
dc.source.none.fl_str_mv reponame:DIGITAL.CSIC. Repositorio Institucional del CSIC
instname:Consejo Superior de Investigaciones Científicas (CSIC)
instname_str Consejo Superior de Investigaciones Científicas (CSIC)
reponame_str DIGITAL.CSIC. Repositorio Institucional del CSIC
collection DIGITAL.CSIC. Repositorio Institucional del CSIC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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