Estimation of Branch Angle from 3D Point Cloud of Plants

Lu Lou, Yonghuai Liu, Minglan Shen, Jiwan Han, Fiona Corke, John H. Doonan

Allbwn ymchwil: Pennod mewn Llyfr/Adroddiad/Trafodion CynhadleddTrafodion Cynhadledd (Nid-Cyfnodolyn fathau)

11 Dyfyniadau(SciVal)


Measuring geometric features in plant specimens either quantitatively or qualitatively, is crucial for plant phenotyping. However, traditional measurement methods tend to be manual and can be tedious, or employ coarse 2D imaging techniques. Emerging 3D imaging technologies show much promise in capturing architectural complexity. However, automated 3D acquisition and accurate estimation of plant morphology for the construction of quantitative plant models remain largely aspiration. In this paper, we propose an approach for segmentation and angle estimation directly from dense 3D plant point clouds. Experimental results show that the approach is efficient and reliable, and appears to be a promising 3D acquisition and measurement solution to plant phenotyping for structural analysis and for building Functional-Structural Plant Models (FSPM).
Iaith wreiddiolSaesneg
Teitl2015 International Conference on 3D Vision (3DV)
GolygyddionMichael Brown, Jana Kosecka, Christian Theobolt
CyhoeddwrIEEE Press
Nifer y tudalennau8
ISBN (Electronig)978-1-4673-8332-5
ISBN (Argraffiad)978-1-4673-8331-8
Dynodwyr Gwrthrych Digidol (DOIs)
StatwsCyhoeddwyd - Hyd 2015
Digwyddiad2015 International Conference on 3D Vision (3DV) - ENS, Lyon, Ffrainc
Hyd: 19 Hyd 201522 Hyd 2015


Cynhadledd2015 International Conference on 3D Vision (3DV)
Teitl cryno3DV2015
Cyfnod19 Hyd 201522 Hyd 2015

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