DocumentCode :
3467258
Title :
3D Plant Modelling via Hyperspectral Imaging
Author :
Jie Liang ; Zia, Azhar ; Jun Zhou ; Sirault, Xavier
Author_Institution :
Australian Nat. Univ., Canberra, SA, Australia
fYear :
2013
fDate :
2-8 Dec. 2013
Firstpage :
172
Lastpage :
177
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.
Keywords :
geophysical image processing; image segmentation; image sensors; vegetation; 3D plant modelling; controlled lab environment; hyperspectral imaging device; plant biomass; plant phenomics research; plant segmentation; plant surface; sensors; wavelength indexed band images; Cameras; Feature extraction; Hyperspectral imaging; Image segmentation; Solid modeling; Three-dimensional displays;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on
Conference_Location :
Sydney, NSW
Type :
conf
DOI :
10.1109/ICCVW.2013.29
Filename :
6755894
Link To Document :
بازگشت