3D Plant Modelling via Hyperspectral Imaging
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.
Cite
Text
Liang et al. "3D Plant Modelling via Hyperspectral Imaging." IEEE/CVF International Conference on Computer Vision Workshops, 2013. doi:10.1109/ICCVW.2013.29Markdown
[Liang et al. "3D Plant Modelling via Hyperspectral Imaging." IEEE/CVF International Conference on Computer Vision Workshops, 2013.](https://mlanthology.org/iccvw/2013/liang2013iccvw-3d/) doi:10.1109/ICCVW.2013.29BibTeX
@inproceedings{liang2013iccvw-3d,
title = {{3D Plant Modelling via Hyperspectral Imaging}},
author = {Liang, Jie and Zia, Ali and Zhou, Jun and Sirault, Xavier},
booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
year = {2013},
pages = {172-177},
doi = {10.1109/ICCVW.2013.29},
url = {https://mlanthology.org/iccvw/2013/liang2013iccvw-3d/}
}