Multi-camera systems use for dental arch shape measurement

被引:6
|
作者
Prochazka, Ales [1 ]
Kasparova, Magdalena [3 ]
Yadollahi, Mohammadreza [1 ]
Vysata, Oldrich [2 ]
Grajciarova, Lucie [1 ]
机构
[1] Inst Chem Technol, Dept Comp & Control Engn, Tech 5, CR-16628 Prague 6, Czech Republic
[2] Charles Univ Prague, Fac Med Hradec Kralove, Dept Neurol, Hradec Kralove 50005, Czech Republic
[3] Charles Univ Prague, Fac Med 2, Dept Stomatol, Prague 15006 5, Czech Republic
来源
VISUAL COMPUTER | 2015年 / 31卷 / 11期
关键词
Image acquisition; Multi-camera systems; Geometric modeling; Digital signal processing; Computational intelligence; Cleft palate; VIRTUAL-REALITY; SURGERY; LIP;
D O I
10.1007/s00371-014-1029-z
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
This paper presents the analysis of dental cast images and new mathematical methods for their evaluation. While depth sensors of sophisticated scanners allow precise spatial data processing, it is possible to use a multi-camera system for direct data acquisition and recognition of selected objects as well. The main goal of this paper is the analysis of three-dimensional objects to enable numerical evaluation of measurements important for proposals of the appropriate treatment after dental operations. Methods presented include (1) computer analysis of a single de-noised and thresholded image used for detection of its components and (2) presentation of tools for three-dimensional modeling using a double camera system. The proposed algorithms allow semi-automatic evaluation of measurements between selected objects. The resulting general algorithm can be used both in biomedical applications and engineering to detect measurements in static image frames or videosequences.
引用
收藏
页码:1501 / 1509
页数:9
相关论文
共 50 条
  • [31] MODELING DEPTH UNCERTAINTY OF DESYNCHRONIZED MULTI-CAMERA SYSTEMS
    Dima, Elijs
    Sjostrom, Marten
    Olsson, Roger
    2017 INTERNATIONAL CONFERENCE ON 3D IMMERSION (IC3D), 2017,
  • [32] Multi-Camera Surround Sensing for Driver Assistance Systems
    Makowitz, Rainer
    Gryska, Holger
    Weuffen, Dieter
    FAHRERASSISTENZ UND INTEGRIERTE SICHERHEIT, 2012, 2166 : 55 - 61
  • [33] Efficient Computation of Relative Pose for Multi-Camera Systems
    Kneip, Laurent
    Li, Hongdong
    2014 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2014, : 446 - 453
  • [34] A plane-based calibration for multi-camera systems
    Zhang, Liuxin
    Li, Bin
    jia, Yunde
    PROCEEDINGS OF 2007 10TH IEEE INTERNATIONAL CONFERENCE ON COMPUTER AIDED DESIGN AND COMPUTER GRAPHICS, 2007, : 365 - 370
  • [35] Multi-Camera Coordination and Control in Surveillance Systems: A Survey
    Natarajan, Prabhu
    Atrey, Pradeep K.
    Kankanhalli, Mohan
    ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2015, 11 (04)
  • [36] Active Self-calibration of Multi-camera Systems
    Brueckner, Marcel
    Denzler, Joachim
    PATTERN RECOGNITION, 2010, 6376 : 31 - 40
  • [37] Accurate and simple geometric calibration of multi-camera systems
    Pedersini, F
    Sarti, A
    Tubaro, S
    SIGNAL PROCESSING, 1999, 77 (03) : 309 - 334
  • [38] Efficient vision ray calibration of multi-camera systems
    Bartsch, Jonas
    Sperling, Yann
    Bergmann, Ralf B.
    OPTICS EXPRESS, 2021, 29 (11) : 17125 - 17139
  • [39] Stereo Calibration and Rectification for Omnidirectional Multi-camera Systems
    Wang, Yanchang
    Gong, Xiaojin
    Lin, Ying
    Liu, Jilin
    INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2012, 9
  • [40] Adaptive Workload Equalization in Multi-Camera Surveillance Systems
    Saini, Mukesh
    Wang, Xiangyu
    Atrey, Pradeep K.
    Kankanhalli, Mohan
    IEEE TRANSACTIONS ON MULTIMEDIA, 2012, 14 (03) : 555 - 562