3D reconstruction of a group of plants by the ground multi-image photogrammetry method

被引：0
|
作者：
Drofova, Irena [1 ]
Wang, Haozhou [2 ]
Guo, Wei [2 ]
Pospisilik, Martin [3 ]
Adamek, Milan [1 ]
Valouch, Jan [1 ]
机构：
[1] Tomas Bata Univ Zlin, Fac Appl Informat, Depatment Secur Engn, Zlin, Czech Republic
[2] Univ Tokyo, Grad Sch Agr & Life Sci, Tokyo, Japan
[3] Tomas Bata Univ, Fac Appl Informat, Depatment Elect & Measurement, Zlin, Czech Republic
来源：
2023 33RD INTERNATIONAL CONFERENCE RADIOELEKTRONIKA, RADIOELEKTRONIKA | 2023年
关键词：
3D reconstruction; 3D model; photogrammetry; image processing; point cloud;
D O I：
10.1109/RADIOELEKTRONIKA57919.2023.10109045
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper discusses the use of the terrestrial multi-frame photogrammetry method. This method is applied to a group of plants in a natural environment of a greenhouse. Image data is captured by two sensing devices with different types of lenses. Image data is used for the realistic 3D reconstruction of objects into a 3D model. In this experiment, we work primarily with the created point cloud.
引用
收藏
页数：4
相关论文
共 50 条
  • [1] AUTOMATED 3D OBJECT RECONSTRUCTION VIA MULTI-IMAGE CLOSE-RANGE PHOTOGRAMMETRY
    Jazayeri, I.
    Fraser, C. S.
    Cronk, S.
    [J]. PROCEEDINGS OF THE ISPRS COMMISSION V MID-TERM SYMPOSIUM CLOSE RANGE IMAGE MEASUREMENT TECHNIQUES, 2010, 38 : 305 - 310
  • [2] Multi-image 3D reconstruction data evaluation
    Koutsoudis, Anestis
    Vidmar, Blaz
    Ioannakis, George
    Arnaoutoglou, Fotis
    Pavlidis, George
    Chamzas, Christodoulos
    [J]. JOURNAL OF CULTURAL HERITAGE, 2014, 15 (01) : 73 - 79
  • [3] The performance evaluation of multi-image 3D reconstruction software with different sensors
    Mousavi, V.
    Khosravi, M.
    Ahmadi, M.
    Noori, N.
    Haghshenas, S.
    Hosseininaveh, A.
    Varshosaz, M.
    [J]. MEASUREMENT, 2018, 120 : 1 - 10
  • [4] THE PERFORMANCE EVALUATION OF MULTI-IMAGE 3D RECONSTRUCTION SOFTWARE WITH DIFFERENT SENSORS
    Mousavi, V.
    Khosravi, M.
    Ahmadi, M.
    Noori, N.
    Naveh, A. Hosseini
    Varshosaz, M.
    [J]. INTERNATIONAL CONFERENCE ON SENSORS & MODELS IN REMOTE SENSING & PHOTOGRAMMETRY, 2015, 41 (W5): : 515 - 519
  • [5] Multi-image 3D Face Reconstruction via an Adaptive Aggregation Network
    Chai, Xiaoyu
    Chen, Jun
    Xu, Dongshu
    Yao, Hongdou
    Wang, Zheng
    Lin, Chia-Wen
    [J]. ADVANCES IN COMPUTER GRAPHICS, CGI 2023, PT II, 2024, 14496 : 27 - 39
  • [6] Multi-image stereograms in 3D visualization
    Pen, EF
    Saveljev, VV
    [J]. NONLINEAR OPTICAL PHENOMENA AND COHERENT OPTICS IN INFORMATION TECHNOLOGIES - ICONO'98, 1999, 3733 : 459 - 464
  • [7] Multi-image 3D feature and DSM extraction for change detection and building reconstruction
    Paparoditis, N
    Maillet, G
    Taillandier, F
    Jibrini, H
    Jung, F
    Guigues, L
    Boldo, D
    [J]. AUTOMATIC EXTRACTION OF MAN-MADE OBJECTS FROM AERIAL AND SPACE IMAGES (III), 2001, : 217 - 230
  • [8] Multi-image 3D Reconstruction: A Photogrammetric and Structure from Motion Comparative Analysis
    Caradonna, Grazia
    Tarantino, Eufemia
    Scaioni, Marco
    Figorito, Benedetto
    [J]. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2018, PT V, 2018, 10964 : 305 - 316
  • [9] Performance evaluation of a multi-image 3D reconstruction software on a low-feature artefact
    Koutsoudis, Anestis
    Vidmar, Blaz
    Arnaoutoglou, Fotis
    [J]. JOURNAL OF ARCHAEOLOGICAL SCIENCE, 2013, 40 (12) : 4450 - 4456
  • [10] A multi-image restoration method for image reconstruction from projections
    Chen, Yunqiang
    Cheng, Lin
    Fang, Tong
    Raupach, Rainer
    [J]. 2007 IEEE 11TH INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOLS 1-6, 2007, : 700 - +
12345