Multi-camera Photometric Simulation for Creation of 3D Object Reconstruction System

被引:1
|
作者
Sobel, Dawid [1 ]
Jedrasiak, Karol [2 ]
Nawrat, Aleksander [1 ]
机构
[1] Silesian Tech Univ, Gliwice, Poland
[2] Univ Dabrowa Gornicza, Dabrowa Gornicza, Poland
来源
关键词
Reconstruction; 3D; Photogrammetry; 3D scanner; UAV;
D O I
10.1007/978-3-030-00692-1_17
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Photogrammetry allows a three-dimensional reconstruction of the object based on its multiple photographies. The quality of the reconstruction result depends mostly on the gloss, the diversity of the texture, the lighting conditions, the quality of the camera calibration and the shape of the object. The article presents the results of a simulation of a multi-camera reconstruction system, for the needs of developing a 3D objects reconstruction system (3D scanner). The 3D reconstruction system works by simultaneously taking photographs of cameras located around the object. The simulation was created to investigate the optimal distribution of cameras and projectors casting a pattern that increases the number of characteristic points on the surface of the object. The impact of background removal in images on the reconstruction result as well as the texture quality of the object depending on the resolution and distance of the cameras from the object were also investigated. The graphic engine used to create the simulation also allows testing of various types of object lighting. The presented results prove that the parameters of the system structure, such as the placement of cameras, projectors, the selection of patterns projected by the projectors are important and their values can be determined at the stage of system simulation. Conceptual errors at the simulation stage can be removed with minimal cost and the actual system can be created on the basis of tested assumptions. The conducted research in real-world conditions of the designed 3D object reconstruction system based on simulated parameters confirms the validity of the use of simulation.
引用
收藏
页码:187 / 198
页数:12
相关论文
共 50 条
  • [21] Standardized 3D test object for multi-camera calibration during animal pose capture
    Hu, Hao
    Zhang, Roark
    Fong, Tony
    Rhodin, Helge
    Murphy, Timothy H.
    NEUROPHOTONICS, 2023, 10 (04)
  • [22] Learning Temporal Cues by Predicting Objects Move for Multi-camera 3D Object Detection
    Moon, Seokha
    Park, Hongbeen
    Lee, Jaekoo
    Kim, Jinkyu
    2024 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, ICRA 2024, 2024, : 6607 - 6613
  • [23] Focal-PETR: Embracing Foreground for Efficient Multi-Camera 3D Object Detection
    Wang, Shihao
    Jiang, Xiaohui
    Li, Ying
    IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2024, 9 (01): : 1481 - 1489
  • [24] Joint Object Detection and Re-Identification for 3D Obstacle Multi-Camera Systems
    Cortes, Irene
    Beltran, Jorge
    de la Escalera, Arturo
    Garcia, Fernando
    SENSORS, 2023, 23 (23)
  • [25] Efficient and robust multi-camera 3D object detection in bird-eye-view
    Wang, Yuanlong
    Jiang, Hengtao
    Chen, Guanying
    Zhang, Tong
    Zhou, Jiaqing
    Qing, Zezheng
    Wang, Chunyan
    Zhao, Wanzhong
    IMAGE AND VISION COMPUTING, 2025, 154
  • [26] DORT: Modeling Dynamic Objects in Recurrent for Multi-Camera 3D Object Detection and Tracking
    Lian, Qing
    Wang, Tai
    Lin, Dahua
    Pang, Jiangmiao
    CONFERENCE ON ROBOT LEARNING, VOL 229, 2023, 229
  • [27] Reconstruction method and optimum range of camera-shooting angle for 3D plant modeling using a multi-camera photography system
    Xingtong Lu
    Eiichi Ono
    Shan Lu
    Yu Zhang
    Poching Teng
    Mitsuko Aono
    Yo Shimizu
    Fumiki Hosoi
    Kenji Omasa
    Plant Methods, 16
  • [28] Reconstruction method and optimum range of camera-shooting angle for 3D plant modeling using a multi-camera photography system
    Lu, Xingtong
    Ono, Eiichi
    Lu, Shan
    Zhang, Yu
    Teng, Poching
    Aono, Mitsuko
    Shimizu, Yo
    Hosoi, Fumiki
    Omasa, Kenji
    PLANT METHODS, 2020, 16 (01)
  • [29] 3D Hand Gesture Analysis based on Multi-Criterion in Multi-Camera System
    Zhuang Jun
    Zhu Fangwen
    Wu Jiaqi
    Yuan Zhengpeng
    Chen Jinbo
    2008 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION AND LOGISTICS, VOLS 1-6, 2008, : 2342 - 2346
  • [30] Multi-camera multi-object voxel-based Monte Carlo 3D tracking strategies
    Canton-Ferrer C.
    Casas J.R.
    Pardàs M.
    Monte E.
    EURASIP Journal on Advances in Signal Processing, 2011 (1)