All-around 3D plant modeling system using multiple images and its composition

被引:10
作者
Kochi, Nobuo [1 ]
Hayashi, Atsushi [1 ]
Shinohara, Yota [1 ]
Tanabata, Takanari [2 ]
Kodama, Kunihiro [2 ]
Isobe, Sachiko [2 ]
机构
[1] Natl Agr & Food Res Org, Tokyo 1050003, Japan
[2] Kazusa DNA Res Inst, Kisarazu, Chiba 2920818, Japan
关键词
3D modeling; measurement; multi-view; camera; image; photogrammetry;
D O I
10.1270/jsbbs.21068
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
In this study, we developed an all-around 3D plant modeling system that operates using images and is capable of measuring plants non-destructively without any contact. During the fabrication of this device, we selected a method capable of performing 3D model reconstruction from multiple images. We then developed an improved SfM-MVS (Structure from Motion / Multi-View-Stereo) method that enables 3D reconstruction by simply capturing images with a camera. The resulting image-based method offers a high degree of freedom because the hardware and software can comprise commercially available products, and it permits the use of one or more cameras according to the shape and size of the plant. The advantages of the image-based method are that 3D reconstruction can be conducted at any time as long as the images are already taken, and that the desired locations can be observed, measured, and analyzed from 2D images and a 3D point cloud. The device we developed is capable of 3D measurements and modeling of plants from a few millimeters to 2.4 m of height using this method. This article explains this device, the principles of its composition, and the accuracy of the models obtained from it.
引用
收藏
页码:75 / 84
页数:10
相关论文
共 27 条
[1]   Quantifying Variation in Soybean Due to Flood Using a Low-Cost 3D Imaging System [J].
Cao, Wenyi ;
Zhou, Jing ;
Yuan, Yanping ;
Ye, Heng ;
Nguyen, Henry T. ;
Chen, Jimin ;
Zhou, Jianfeng .
SENSORS, 2019, 19 (12)
[2]  
Furbank R., 2016, 2016 INT C DIGITAL I, P1
[3]   Accurate, Dense, and Robust Multiview Stereopsis [J].
Furukawa, Yasutaka ;
Ponce, Jean .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2010, 32 (08) :1362-1376
[4]  
Ganci G., 1998, INT ARCH PHOTOGRAMME, V32, P53
[5]  
Gao T., 2021, REMOTE SENS BASEL, V13, P1
[6]  
Hattori S, 2002, PHOTOGRAMM ENG REM S, V68, P441
[7]  
Hayashi A., 2019, VIS VIEW2019 ENG WOR
[8]  
Hayashi A., 2020, 23 IM REC UND S
[9]   3D point cloud data to quantitatively characterize size and shape of shrub crops [J].
Jiang, Yu ;
Li, Changying ;
Takeda, Fumiomi ;
Kramer, Elizabeth A. ;
Ashrafi, Hamid ;
Hunter, Jamal .
HORTICULTURE RESEARCH, 2019, 6
[10]  
Karara H.M., 1989, NONTOPOGRAPHIC PHOTO, V2nd