Integrated 3D Range Camera Self-Calibration

被引:2
|
作者
Westfeld, Patrick [1 ]
Maas, Hans-Gerd [1 ]
机构
[1] Tech Univ Dresden, Inst Photogrammetry & Remote Sensing, D-01062 Dresden, Germany
来源
PHOTOGRAMMETRIE FERNERKUNDUNG GEOINFORMATION | 2013年 / 06期
关键词
range imaging camera; integrated calibration; bundle adjustment; variance component estimation; SCATTERING;
D O I
10.1127/1432-8364/2013/0202
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
An integrated bundle adjustment has been developed to facilitate the precise definition of the geometry of time-of-flight range imaging cameras, including the estimation of range-measurement-specific correction parameters modelling linear, periodic and sensor-position-dependent effects of a distance measurement. The integrated calibration routine jointly adjusts data from both information channels (amplitude and range) and automatically estimates optimum observation weights. The method is based on the flexible principle of self-calibration. It does not require spatial object data, thus avoiding the time-consuming determination of reference distances with superior accuracy. The accuracy analyses carried out using a PMD[vision] CamCube 2.0 confirm the correctness of the proposed functional contexts, but they also exhibit challenges caused by non-parameterised range-measurement-specific errors. The level of accuracy of the observations is computed by variance component estimation and becomes in mean 1/35 pixel for an amplitude image coordinate measurement and 9.5 mm for a distance measurement. The precision of a 3D point coordinate can be set at 5 mm after calibration, compared to several centimetres before applying any correction terms. In the case of depth imaging technology, which is influenced by a variety of noise sources, this accuracy level is very promising.
引用
收藏
页码:589 / 602
页数:14
相关论文
共 50 条
  • [1] Multiple Camera Self-calibration and 3D Reconstruction Using Pedestrians
    Hoedlmoser, Michael
    Kampel, Martin
    ADVANCES IN VISUAL COMPUTING, PT II, 2010, 6454 : 1 - 10
  • [2] An integrated bundle adjustment approach to range camera geometric self-calibration
    Lichti, Derek D.
    Kim, Changjae
    Jamtsho, Sonam
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2010, 65 (04) : 360 - 368
  • [3] Self-calibration for a 3D laser
    Sheehan, Mark
    Harrison, Alastair
    Newman, Paul
    INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2012, 31 (05): : 675 - 687
  • [4] Range camera self-calibration with scattering compensation
    Lichti, Derek D.
    Qi, Xiaojuan
    Ahmed, Tanvir
    ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2012, 74 : 101 - 109
  • [5] Reconstruction of 3D Scenes by Camera Self-Calibration and Using Genetic Algorithms
    El Akkad, Nabil
    El Hazzat, Soulaiman
    Saaidi, Abderrahim
    Satori, Khalid
    3D RESEARCH, 2016, 7 (01)
  • [6] Range Camera Self-Calibration Based on Integrated Bundle Adjustment via Joint Setup with a 2D Digital Camera
    Shahbazi, Mozhdeh
    Homayouni, Saeid
    Saadatseresht, Mohammad
    Sattari, Mehran
    SENSORS, 2011, 11 (09) : 8721 - 8740
  • [7] Self-calibration of a 1D projective camera and its application to the self-calibration of a 2D projective camera
    Faugeras, O
    Quan, L
    Strum, P
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2000, 22 (10) : 1179 - 1185
  • [8] 3D Head Pose Estimation in Monocular Video Sequences by Sequential Camera Self-Calibration
    Marras, Ioannis
    Nikolaidis, Nikos
    Pitas, Ioannis
    2009 IEEE INTERNATIONAL WORKSHOP ON MULTIMEDIA SIGNAL PROCESSING (MMSP 2009), 2009, : 68 - 73
  • [9] Accurate Self-calibration of Camera with Variable Intrinsic Parameters from Unknown 3D Scene
    El Batteoui, I.
    Saaidi, A.
    Satori, K.
    3D RESEARCH, 2015, 6 (03):
  • [10] Photogrammetric Bundle Adjustment With Self-Calibration of the PrimeSense 3D Camera Technology: Microsoft Kinect
    Chow, Jacky C. K.
    Lichti, Derek D.
    IEEE ACCESS, 2013, 1 : 465 - 474