3D Plant Modelling via Hyperspectral Imaging

Jie Liang, Ali Zia, Jun Zhou, Xavier Sirault; Proceedings of the IEEE International Conference on Computer Vision (ICCV) Workshops, 2013, pp. 172-177


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.

Related Material

author = {Jie Liang and Ali Zia and Jun Zhou and Xavier Sirault},
title = {3D Plant Modelling via Hyperspectral Imaging},
booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV) Workshops},
month = {June},
year = {2013}