Comprehensive Analysis of System Calibration between Optical Camera and Range Finder

This paper describes the comprehensive analysis of system calibration between an optical camera and a range finder. The results suggest guidelines for accurate and efficient system calibration enabling high-quality data fusion. First, self-calibration procedures were carried out using a testbed designed for both the optical camera and range finder. The interior orientation parameters of the utilized sensors were precisely computed. Afterwards, 92 system calibration experiments were carried out according to different approaches and data configurations. For comparison of the various experimental results, two measures, namely the matching rate of fusion data and the standard deviation of relative orientation parameters derived after system calibration procedures, were considered. Among the 92 experimental cases, the best result (the matching rate of 99.08%) was shown for the use of the one-step system calibration method and six datasets from multiple columns. Also, the root mean square values of the residuals after the self- and system calibrations were less than 0.8 and 0.6 pixels, respectively. In an overall evaluation, it was confirmed that the one-step system calibration method using four or more datasets provided more stable and accurate relative orientation parameters and data fusion results than the other cases.

[1]  Derek D. Lichti,et al.  Range camera self-calibration with independent object space scale observations , 2012 .

[2]  Radu Horaud,et al.  Cross-calibration of time-of-flight and colour cameras , 2014, Comput. Vis. Image Underst..

[3]  Manuel A. Armada,et al.  A New Approach for Combining Time-of-Flight and RGB Cameras Based on Depth-Dependent Planar Projective Transformations , 2015, Sensors.

[4]  Huimin Yu,et al.  Improved 3D Depth Image Estimation Algorithm for Visual Camera , 2009, 2009 2nd International Congress on Image and Signal Processing.

[5]  Andreas Nüchter,et al.  Mutual Calibration for 3D Thermal Mapping , 2012, SyRoCo.

[6]  Michael Bosse,et al.  3D thermal mapping of building interiors using an RGB-D and thermal camera , 2013, 2013 IEEE International Conference on Robotics and Automation.

[7]  Kostas Daniilidis,et al.  MSG-cal: Multi-sensor graph-based calibration , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[8]  In-So Kweon,et al.  Time-of-Flight Sensor Calibration for a Color and Depth Camera Pair , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  H. Beyer Geometric and radiometric analysis of a CCD-camera based photogrammetric close-range system , 1992 .

[10]  Marcus A. Magnor,et al.  A Survey on Time-of-Flight Stereo Fusion , 2013, Time-of-Flight and Depth Imaging.

[11]  Daniel Herrera C,et al.  Joint depth and color camera calibration with distortion correction. , 2012, IEEE transactions on pattern analysis and machine intelligence.

[12]  Abdulmotaleb El-Saddik,et al.  From 3D Sensing to Printing , 2015, ACM Trans. Multim. Comput. Commun. Appl..

[13]  Matteo Munaro,et al.  OpenPTrack: Open source multi-camera calibration and people tracking for RGB-D camera networks , 2016, Robotics Auton. Syst..

[14]  E. Mikhail,et al.  Introduction to modern photogrammetry , 2001 .

[15]  Derek D. Lichti,et al.  IMU and Multiple RGB-D Camera Fusion for Assisting Indoor Stop-and-Go 3D Terrestrial Laser Scanning , 2014, Robotics.

[16]  K. Hartmann,et al.  Data-Fusion of PMD-Based Distance-Information and High-Resolution RGB-Images , 2007, 2007 International Symposium on Signals, Circuits and Systems.

[17]  C. Fraser,et al.  Digital camera calibration methods: Considerations and comparisons , 2006 .

[18]  Luc Van Gool,et al.  Combining RGB and ToF cameras for real-time 3D hand gesture interaction , 2011, WACV.

[19]  Wang Weimin,et al.  A Mobile System for 3D Indoor Mapping Using LiDAR and Panoramic Camera , 2015 .

[20]  D. Lichti,et al.  An integrated bundle adjustment approach to range camera geometric self-calibration , 2010 .

[21]  Aggelos K. Katsaggelos,et al.  Automatic, fast, online calibration between depth and color cameras , 2014, J. Vis. Commun. Image Represent..

[22]  Andreas Kolb,et al.  Lateral and Depth Calibration of PMD-Distance Sensors , 2006, ISVC.

[23]  Derek D. Lichti,et al.  A Comparison of Three Geometric Self-Calibration Methods for Range Cameras , 2011, Remote. Sens..

[24]  Patrick Westfeld,et al.  PHOTOGRAMMETRIC CALIBRATION OF RANGE IMAGING SENSORS USING INTENSITY AND RANGE INFORMATION SIMULTANEOUSLY , 2009 .

[25]  Clive S. Fraser,et al.  Digital camera self-calibration , 1997 .

[26]  Seon-Min Rhee,et al.  Time-of-flight sensor and color camera calibration for multi-view acquisition , 2011, The Visual Computer.

[27]  Dean Brown,et al.  Decentering distortion of lenses , 1966 .

[28]  Ji-Hun Bae,et al.  A study on reliability enhancement for laser and camera calibration , 2012 .

[29]  Ruigang Yang,et al.  Reliability Fusion of Time-of-Flight Depth and Stereo Geometry for High Quality Depth Maps , 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.