RESEARCH
研究
研究内容
植物の3D計測・モデリング
・N, Kochi, T. Tanabata, A. Hayashi, S. Isobe, A 3D Shape-Measuring System for Assessing Strawberry Fruits, I J AT.Vol.12 No.3, pp.395-404, 2018,
https://doi.org/10.20965/ijat.2018.p0395
概要：イチゴの3次元形状計測・モデリングシステムを構築し0.3mm精度、解析時間1.5時間を達成
・N.Kchi, A. Hayashi, Y, Shinohara, T. Tanabata, K. Kodama and S. Isobe, All-around 3D plant modeling system using multiple images and its composition, BS 72: 75–84 (2022),
https://doi.org/10.1270/jsbbs.21068
概要：全周植物3次元モデリングシステムの開発。数cm~数ｍまでの植物を1mm精度で計測
・A.Hayashi,N.Kochi,K.Kodama,S.Isobe andT.Tanabata, CLCFM3: A 3D Reconstruction Algorithm Based on Photogrammetry for High-Precision Whole Plant Sensing Using
All-Around Images, Sensors 2025, 25(18), 5829; https://doi.org/10.3390/s25185829
概要：全周植物3次元モデリングシステムの原理
植物の画像認識と計測
・T. Ishikawa, A.Hayashi, S.Nagamatsu, Y.Kyutoku, I. Dan, T. Wada, K. Oku, Y. Saeki, S. Uto, T. Tanabata, S.Isobe, N. Kochi, Classification of strawberry fruit shape by machine learning, ISPRS ,Volume XLII-2, pp.463-470, June 6-9, 2018, https://doi.org/10.5194/isprs-archives-XLII-2-463-2018
概要：イチゴの形状9種類を機械学習（Random Forest）により分類
・Md. P. Islam, Y. Nakano, U. Lee, K. Tokuda and N, Kochi , TheLNet270v1 – A Novel Deep-Network Architecture for the Automatic Classification of Thermal Images for Greenhouse Plants』Front. Plant Sci., 01 July 2021, pp01-16, https://doi.org/10.3389/fpls.2021.630425,
概要；葉の表面温度を継続的に監視するために、熱画像の自動セグメンテーションのための新しいディープラーニング技術を開発
・U. Lee, Md P. Islam, N. Kochi, K. Tokuda, Y. Nakano, H. Naito, Y. Kawasaki, T. Ota, T. Sugiyama and D. An Automated, Clip-Type, Small Internet of Things Camera-Based Tomato Flower and Fruit Monitoring and Harvest Prediction System , Sensors 2022, 22, 2456.pp.1-18, https://doi.org/10.3390/s22072456
概要：クリップ型IoTカメラを用いた自動生育モニタリング・収穫時期予測システムを提案・設計
・K. Wada, A. Hayashi, U. Lee, T. Tanabata, S. Isobe, H. Itoh, H. Maeda, S. Fujisako and N. Kohi, A Novel Method for Quantifying Plant Morphological Characteristics Using Normal Vectors and Local Curvature Data via 3D Modelling—A Case Study in Leaf Lettuce, Sensors 23(15), 6825 (2023) , https://doi.org/10.3390/s23156825
概要：レタスの3次元モデリングによる植物の寸法計測と目視評価の数値化について新技術の提案
・S.Moriyuki,N.Kochi,Y.Shinohara,Y.Matsushima, Selection of Small Camera for Leaf Area Measurement Using Distance Information and Validation of Strawberry Yield Prediction ModelEnvironmental Control in Biology,2025 Volume 63 Issue 4 Pages 79-89,https://doi.org/10.2525/ecb.63.79
概要：低価格センサーの性能比較とハウス内のイチゴ葉面積計測、収量予測
- Kochi, T. Sasaki, K. Kitamura, S. Kaneko, Robust Stereo Matching by Integrated Edge Segments, ISPRS, Volume II-5, pp.203-210, doi:10.5194/isprsannals-II-5-203-2014
概要：エッジマッチングを用いたロバスト三次元面計測手法を提案。従来表現できなかった形状表現を可能とした。精度はタイヤを計測し0.14mm。他の応用例として協会やUAVによる地形計測例を示す．
研究リスト
植物の3D計測・モデリング
1.Nobuo Kochi, Takanari Tanabata, Atsushi Hayashi, Sachiko Isobe, A 3D Shape-Measuring System for Assessing Strawberry Fruits, International Journal of Automation Technology.Vol.12 No.3, pp.395-404, 2018
2.Ishikawa, Takuya; Hayashi, Atsushi; Nagamatsu, Shiro; Kyutoku, Yasushi; Dan, Ippeita; Wada, Takuya; Oku, Koichiro; Saeki, Yumi; Uto, Shunsuke; Tanabata, Takanari; Isobe, Sachiko; Kochi, Nobuo, Classification of strawberry fruit shape by machine learning、The ISPRS Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences,Volume XLII-2, pp.463-470, June 6-9, 2018
3.Toshio Baba, Yoshi-aki Shimada, Seiichiro Kawamura, Masanori Matoba, Toshikazu Fukushima, Shinichiro Fujii, Toshiki Nagano, Yasuhiro Katsumata, Nobuo Kochi and Yasunori Kimura、Proposal of Disruptive Computing (A Computing-Domain-Oriented Approach),Japanese Journal of Applied Physics,Volume59, Number5, 050503(2020)
4.Nobuo Kochi, Sachiko Isobe，Atsushi Hayashi,Kunihiro Kodama，Takanari Tanabata,Introduction of All-Around 3D Modeling Methods for Investigation of Plants,International Journal of Automation Technology.Vol.15 No.3, pp.301-312, 2021
5.Md. Parvez Islam1, Yuka Nakano, Unseok Lee, Keinichi Tokuda and Nobuo Kochi,TheLNet270v1 – A Novel Deep-Network Architecture for the Automatic Classification of Thermal Images for Greenhouse Plants, Front. Plant Sci., 01 July 2021 | https://doi.org/10.3389/fpls.2021.630425,pp01-16
6.Nobuo Kochi, Atsushi Hayashi, Yota Shinohara, Takanari Tanabata, Kunihiro Kodama and Sachiko Isobe,All-around 3D plant modeling system using multiple images and its composition,Breeding Science 72: 75–84 (2022)
7.Unseok Lee, Md Parvez Islam, Nobuo Kochi, Kenichi Tokuda, Yuka Nakano, Hiroki Naito,Yasushi Kawasaki, Tomohiko Ota,Tomomi Sugiyama and Dong-Hyuk Ahn, An Automated, Clip-Type, Small Internet of Things Camera-Based Tomato Flower and Fruit Monitoring and Harvest Prediction System, Sensors 2022, 22, 2456.pp.1-18
8.Kaede C. Wada 1, Atsushi Hayashi 2, Unseok Lee 2, Takanari Tanabata 4, Sachiko Isobe 4, Hironori Itoh 1, Hideki Maeda 3, Satoshi Fujisako 3 and Nobuo Kochi,A Novel Method for Quantifying Plant Morphological Characteristics Using Normal Vectors and Local Curvature Data via 3D Modelling—A Case Study in Leaf Lettuce”, Sensors 23(15), 6825 (2023)
9.Yuta Tsukamotoa, Atsushi Hayashi, Kenichi Tokudab and Nobuo Kochi,Comparative verification of 3D reconstructed point cloud data: comparison of AI estimation and multi-view stereo methods using Nerfstudio and Metashape,SICE JOURNAL OF CONTROL, MEASUREMENT, AND SYSTEM INTEGRATION,2025,VOL.18,NO.1, 2497600,https://doi.org/10.1080/18824889.2025.2497600
10.Atsushi Hayashi,Nobuo Kochi,Kunihiro Kodama、Sachiko Isobe andTakanari Tanabata, CLCFM3: A 3D Reconstruction Algorithm Based on Photogrammetry for High-Precision Whole Plant Sensing Using All-Around Images, Sensors 2025, 25(18), 5829; https://doi.org/10.3390/s25185829
11.Shogo Moriyuki, Nobuo Kochi, Yota Shinohara, Yudai Matsushima , Selection of Small Camera for Leaf Area Measurement Using Distance Information and Validation of Strawberry Yield Prediction ModelEnvironmental Control in Biology,2025 Volume 63 Issue 4 Pages 79-89,https://doi.org/10.2525/ecb.63.79
遺跡計測・地形計測・工業計測・人体計測分野の３D計測・モデリング
（UnderConstructing）