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

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

21 被引用数 (Scopus)

抄録

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.

本文言語英語
ホスト出版物のタイトルProceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ2038-2045
ページ数8
ISBN(電子版)9781538610343
DOI
出版ステータス出版済み - 7 1 2017
イベント16th IEEE International Conference on Computer Vision Workshops, ICCVW 2017 - Venice, イタリア
継続期間: 10 22 201710 29 2017

出版物シリーズ

名前Proceedings - 2017 IEEE International Conference on Computer Vision Workshops, ICCVW 2017
2018-January

その他

その他16th IEEE International Conference on Computer Vision Workshops, ICCVW 2017
国/地域イタリア
CityVenice
Period10/22/1710/29/17

All Science Journal Classification (ASJC) codes

  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識

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