3D plant modelling via hyperspectral imaging
Loading...
Date
Authors
Liang, Jie
Zia, Ali
Zhou, Jun
Sirault, Xavier R. R.
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE
Abstract
Plant phenomics research requires different types of sensors be employed to measure the physical traits of plant surface and to estimate the plant biomass. Of particular interest is the hyperspectral imaging device which captures wavelength indexed band images that characterise material properties of objects under study. In this paper, we introduce a proof of concept research that builds 3D plant model directly from hyperspectral images captured in a controlled lab environment. We show that hyperspectral imaging has shown clear advantages in segmenting plant from its background and is promising in generating comprehensive 3D plant models.
Description
Citation
Collections
Source
Proceedings of the IEEE International Conference on Computer Vision
Type
Book Title
Entity type
Access Statement
License Rights
Restricted until
2037-12-31
Downloads
File
Description