An Easy-To-Setup 3D Phenotyping Platform for KOMATSUNA Dataset

Hideaki Uchiyama, Shunsuke Sakurai, Masashi Mishima, Daisaku Arita, Takashi Okayasu, Atsushi Shimada, Rin-ichiro Taniguchi; The IEEE International Conference on Computer Vision (ICCV), 2017, pp. 2038-2045

Abstract


We present a 3D phenotyping platform that measures both plant growth and environmental information in small indoor environments for plant image datasets. Our objective is to construct a compact and complete platform by using commercial devices to allow any researcher to begin plant phenotyping in their laboratory. In addition, we introduce our annotation tool to manually but effectively create leaf labels in plant images on a pixel-by-pixel basis. Finally, we show our RGB-D and multiview datasets containing images in the early growth stages of the Komatsuna with leaf annotation.

Related Material


[pdf]
[bibtex]
@InProceedings{Uchiyama_2017_ICCV,
author = {Uchiyama, Hideaki and Sakurai, Shunsuke and Mishima, Masashi and Arita, Daisaku and Okayasu, Takashi and Shimada, Atsushi and Taniguchi, Rin-ichiro},
title = {An Easy-To-Setup 3D Phenotyping Platform for KOMATSUNA Dataset},
booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
month = {Oct},
year = {2017}
}