ML Anthology

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
ICCVW 2017 pp. 2038-2045
doi:10.1109/ICCVW.2017.239 /iccvw/2017/uchiyama2017iccvw-easytosetup/

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.

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Cite

Text

Uchiyama et al. "An Easy-to-Setup 3D Phenotyping Platform for KOMATSUNA Dataset." IEEE/CVF International Conference on Computer Vision Workshops, 2017. doi:10.1109/ICCVW.2017.239

Markdown

[Uchiyama et al. "An Easy-to-Setup 3D Phenotyping Platform for KOMATSUNA Dataset." IEEE/CVF International Conference on Computer Vision Workshops, 2017.](https://mlanthology.org/iccvw/2017/uchiyama2017iccvw-easytosetup/) doi:10.1109/ICCVW.2017.239

BibTeX

@inproceedings{uchiyama2017iccvw-easytosetup,
  title     = {{An Easy-to-Setup 3D Phenotyping Platform for KOMATSUNA Dataset}},
  author    = {Uchiyama, Hideaki and Sakurai, Shunsuke and Mishima, Masashi and Arita, Daisaku and Okayasu, Takashi and Shimada, Atsushi and Taniguchi, Rin-Ichiro},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops},
  year      = {2017},
  pages     = {2038-2045},
  doi       = {10.1109/ICCVW.2017.239},
  url       = {https://mlanthology.org/iccvw/2017/uchiyama2017iccvw-easytosetup/}
}