Multiprojector Multicamera Structured Light Surface Scanner

被引:4
作者
Petkovic, Tomislav [1 ]
Pribanic, Tomislav [1 ]
Donlic, Matea [1 ]
D'apuzzo, Nicola [1 ]
机构
[1] Univ Zagreb, Fac Elect Engn & Comp, Zagreb 10000, Croatia
关键词
Cameras; Interference; Surface reconstruction; Three-dimensional displays; Robustness; Robot vision systems; Frequency division multiplexing; Phase shifters; Structured light; 3D imaging; multi-projector structured light; temporal phase shifting; frequency-division multiplexing; 3D SHAPE MEASUREMENT; PHASE; PROFILOMETRY;
D O I
10.1109/ACCESS.2022.3200388
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Structured light surface scanners are usually limited to a single projector and cannot provide a full surface profile in a single scan. Multiple projectors must be employed to extend the imaging area over the whole surface of the imaged object. Using multiple projectors is a challenging problem due to inter-projector interference which makes pattern decoding hard. We describe a practical approach to multi-projector structured light surface scanning based on sinusoidal fringe patterns and temporal phase shifting which allows simultaneous projector employment. In our approach a different set of temporal phase shifts is assigned to each projector to enable an efficient and robust separation of observed combined patterns into the contributions of each projector. The proposed approach does not place any restrictions on projector placement nor on the upper limit of the number of projectors used. We demonstrate the applicability of the proposed approach on a structured light surface scanner comprised of three projectors and six cameras.
引用
收藏
页码:90321 / 90337
页数:17
相关论文
共 72 条
  • [1] Recent progress in coded structured light as a technique to solve the correspondence problem: A survey
    Batlle, J
    Mouaddib, E
    Salvi, J
    [J]. PATTERN RECOGNITION, 1998, 31 (07) : 963 - 982
  • [2] Experimentation of structured light and stereo vision for underwater 3D reconstruction
    Bruno, F.
    Bianco, G.
    Muzzupappa, M.
    Barone, S.
    Razionale, A. V.
    [J]. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2011, 66 (04) : 508 - 518
  • [3] Chen C. H., 1987, Proceedings of the 1987 IEEE International Conference on Robotics and Automation (Cat. No.87CH2413-3), P807
  • [4] Range data acquisition using color structured lighting and stereo vision
    Chen, CS
    Hung, YP
    Chiang, CC
    Wu, JL
    [J]. IMAGE AND VISION COMPUTING, 1997, 15 (06) : 445 - 456
  • [5] Cignoni P, 2008, EUR IT CHAPT C, DOI DOI 10.2312/LOCALCHAPTEREVENTS/ITALCHAP/ITALIANCHAPCONF2008/129-136
  • [6] Cong PY, 2013, IEEE IMAGE PROC, P3627, DOI 10.1109/ICIP.2013.6738748
  • [7] Creath K., 1988, Progress in optics. Vol.XXVI, P349, DOI 10.1016/S0079-6638(08)70178-1
  • [8] CRISTINA S, 2011, P 8 INT C INF CONTR, V2, P317
  • [9] A Qualitative Review on 3D Coarse Registration Methods
    Diez, Yago
    Roure, Ferran
    Llado, Xavier
    Salvi, Joaquim
    [J]. ACM COMPUTING SURVEYS, 2015, 47 (03)
  • [10] Signal decomposition in terms of non-orthogonal sinusoidal bases
    Dologlou, I
    Bakamidis, S
    Carayannis, G
    [J]. SIGNAL PROCESSING, 1996, 51 (02) : 79 - 91