Characterization of Triangulation-Based 3D Imaging Systems Using Certified Artifacts

Abstract: A set of test procedures and certified artifacts to characterize the capability of short-range triangulation-based three-dimensional (3D) imaging systems are presented. The approach consists of scanning metallic and coated-glass certified artifacts in which the uncertainties in the associated characteristic reference values are smaller than the measurement uncertainties produced by the system under test (SUT). The artifacts were grouped on the same plate for portability. To define a set of test procedures that is practical, simple to perform and easy to understand, we utilized a terminology that is well-known in the manufacturing field, i.e., geometric dimensioning and tolerancing (GD&T). The National Research Council Portable Characterization Target (NRC-PCT) is specifically designed for the characterization of systems with depths of field from 50 mm to 500 mm. Tests were performed to validate the capability of the NRC-PCT. This paper presents these results, along with some basic information on 3D imaging systems.

[1]  Basilio Ramos Barbero,et al.  Comparative study of different digitization techniques and their accuracy , 2011, Comput. Aided Des..

[2]  J.-Angelo Beraldin,et al.  Proposed NRC portable target case for short-range triangulation-based 3D imaging systems characterization , 2011, Electronic Imaging.

[3]  R. Leach.  Optical measurement of surface topography , 2011 .

[4]  M. A. Nasson.  Mathematical Definition of Dimensioning and Tolerancing Principles , 2001 .

[5]  Paul G. Maropoulos,et al.  Recent developments in large-scale dimensional metrology , 2009 .

[6]  Simone Carmignato,et al.  Experimental study on performance verification tests for coordinate measuring systems with optical distance sensors , 2009, Electronic Imaging.

[7]  Tilo Pfeifer,et al.  Optical Methods for Dimensional Metrology in Production Engineering , 2002 .

[8]  Luc Cournoyer,et al.  Hierarchical characterization procedures for dimensional metrology , 2011, Electronic Imaging.

[9]  P. Miller.  Applications of 3D Measurement from Images , 2009 .

[10]  Matt Lombard,et al.  Dimensioning and Tolerancing , 2013 .

[11]  S. Lippman,et al.  The Scripps Institution of Oceanography , 1959, Nature.

[12]  Marc-Antoine Drouin,et al.  Active 3D Imaging Systems , 2012, 3D Imaging, Analysis and Applications.

[13]  Gabriele Guidi,et al.  Performance Evaluation of Triangulation Based Range Sensors , 2010, Sensors.

[14]  Svenja Ettl,et al.  Limitations of Optical 3D Sensors , 2011 .

[15]  Li Zhang,et al.  Turning images into 3-D models , 2008, IEEE Signal Processing Magazine.

[16]  Paolo Minetola,et al.  Proposal of an innovative benchmark for comparison of the performance of contactless digitizers , 2010 .

[17]  Kamel S. Saidi,et al.  Target penetration of laser-based 3D imaging systems , 2009, Electronic Imaging.

[18]  A. Brownhill.,et al.  Performance study of non-contact surface measurement technology for use in an experimental fusion device , 2009, 2009 23rd IEEE/NPSS Symposium on Fusion Engineering.

[19]  Francois Blais,et al.  TRACEABLE 3D IMAGING METROLOGY: EVALUATION OF 3D DIGITIZING TECHNIQUES IN A DEDICATED METROLOGY LABORATORY , 2007 .