Pair-wise Registration of 3D/Color Data Sets with ICP

The ICP (iterative closest point) algorithm remains a very popular method for the registration of 3D data sets, when an initial guess of the relative pose between them is known. The purpose of the work presented in this paper is to improve performance of classical ICP. We address, here, the problem of pair-wise registration of color range images. Many variants of ICP have been proposed for the registration of 3D data sets. However, there are only a few solutions dealing with color range images. In this paper, we have adapted some variants of ICP to take into account color information in the closest point research. Two approaches of color data integration have been evaluated with real 3D/color data sets

[1]  Paul J. Besl,et al.  A Method for Registration of 3-D Shapes , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  Robert Bergevin,et al.  A method for the registration of attributed range images , 2001, Proceedings Third International Conference on 3-D Digital Imaging and Modeling.

[3]  Gérard G. Medioni,et al.  Object modelling by registration of multiple range images , 1992, Image Vis. Comput..

[4]  Chitra Dorai,et al.  Optimal Registration of Object Views Using Range Data , 1997, IEEE Trans. Pattern Anal. Mach. Intell..

[5]  M. Hebert,et al.  The Representation, Recognition, and Locating of 3-D Objects , 1986 .

[6]  A. Ardeshir Goshtasby.  Three-dimensional model construction from multiview range images: survey with new results , 1998, Pattern Recognit..

[7]  Sing Bing Kang,et al.  Registration and integration of textured 3-D data , 1997, Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134).

[8]  Takeo Kanade,et al.  Real-time 3-D pose estimation using a high-speed range sensor , 1993, Proceedings of the 1994 IEEE International Conference on Robotics and Automation.

[9]  Gérard G. Medioni,et al.  Object modeling by registration of multiple range images , 1991, Proceedings. 1991 IEEE International Conference on Robotics and Automation.

[10]  Andrew E. Johnson,et al.  Registration and integration of textured 3-D data , 1997, Proceedings. International Conference on Recent Advances in 3-D Digital Imaging and Modeling (Cat. No.97TB100134).

[11]  Robert H. King,et al.  An interactive system for creating object models from range data based on simulated annealing , 1997, Proceedings of International Conference on Robotics and Automation.

[12]  Naokazu Yokoya,et al.  A Robust Method for Registration and Segmentation of Multiple Range Images , 1995, Comput. Vis. Image Underst..

[13]  C. Q. Little,et al.  Registration of range data using a hybrid simulated annealing and iterative closest point algorithm , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[14]  Richard A. Volz,et al.  Estimating 3-D location parameters using dual number quaternions , 1991, CVGIP Image Underst..

[15]  Bahram Parvin,et al.  B-rep from unregistered multiple range images , 1992, Proceedings 1992 IEEE International Conference on Robotics and Automation.

[16]  K. S. Arun,et al.  Least-Squares Fitting of Two 3-D Point Sets , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[17]  B. Ripley,et al.  Robust Statistics , 2018, Encyclopedia of Mathematical Geosciences.

[18]  M. Miller.  Submitted to Ieee Transactions on Pattern Analysis and Machine Intelligence Hilbert-schmidt Lower Bounds for Estimators on Matrix Lie Groups , 1998 .

[19]  Sang Wook Lee,et al.  ICP Registration Using Invariant Features , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[20]  Martin D. Levine,et al.  Registering Multiview Range Data to Create 3D Computer Objects , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[21]  Berthold K. P. Horn,et al.  Closed-form solution of absolute orientation using unit quaternions , 1987 .

[22]  Andrew W. Fitzgibbon,et al.  Simultaneous registration of multiple range views for use in reverse engineering , 1996, Proceedings of 13th International Conference on Pattern Recognition.

[23]  William H. Press,et al.  Numerical recipes in C , 2002 .

[24]  M. F.,et al.  Bibliography , 1985, Experimental Gerontology.

[25]  Kari Pulli,et al.  Multiview registration for large data sets , 1999, Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062).

[26]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[27]  Timothée Jost,et al.  Fast Geometric Matching for Shape Registration , 2002 .

[28]  Zhengyou Zhang,et al.  Iterative point matching for registration of free-form curves and surfaces , 1994, International Journal of Computer Vision.