Verification artifact for photogrammetric measurement systems

A low-cost mechanical artifact is developed for the metrological verification of photogrammetric measurement systems. It is mainly composed of five delrin spheres and seven cubes manufactured in different sizes. A set of circular targets are fixed on these elements to perform the photogrammetric restitution. The artifact is used in order to compare three photogrammetric systems defined by three different cameras (Canon 5D with 14-mm lens, Nikon D200 with 20-mm lens, and Jai BB500GE with 8-mm lens). Photomodeler Pro and Matlab software are used for the data processing. The precision of the systems is evaluated using the standard deviation of the geometric coordinates calculated from the restitution of the circular targets. The accuracy is calculated using two different procedures: one of them uses the distance between the center of the spheres and the other uses the distance between the faces of the cubes. The comparison between the photogrammetric systems and their associated calibration files reveals that the Jai camera produces the best results in terms of precision and accuracy, while the Canon camera produces the poorest ones. The bad results from the Canon system are primarily related to the low quality of the calibration procedure.

[1]  Kenneth R. White,et al.  Close-range photogrammetry applications in bridge measurement: Literature review , 2008 .

[2]  Pedro Arias,et al.  Measuring building façades with a low-cost close-range photogrammetry system , 2010 .

[3]  Pedro Arias,et al.  Application of Close Range Photogrammetry to Deck Measurement in Recreational Ships , 2009, Italian National Conference on Sensors.

[4]  Thomas Luhmann,et al.  Close range photogrammetry for industrial applications , 2010 .

[5]  Tim Schmidt,et al.  Wind Turbine Operational and Emergency Stop Measurements Using Point Tracking Videogrammetry , 2009 .

[6]  Jim Davis,et al.  CMM verification: a survey , 1996 .

[7]  Hans Nørgaard Hansen,et al.  Comparison of Coordinate Measuring Machines using an Optomechanical Hole Plate , 2005 .

[8]  A. Weckenmann,et al.  Probing Systems in Dimensional Metrology , 2004 .

[9]  Uwe Hampel,et al.  Photogrammetric techniques in civil engineering material testing and structure monitoring , 2006 .

[10]  Cheng Guo,et al.  Exploitation of photogrammetry measurement system , 2010 .

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

[12]  Ayman Habib,et al.  Stereo photogrammetry for generating and matching facial models , 2007 .

[13]  Henrique Lorenzo,et al.  Damage Quantification and Monitoring in Masonry Monuments through Digital Photogrammetry , 2007 .

[14]  Enrico Savio,et al.  New advances in traceability of CMMs for almost the entire range of industrial dimensional metrology needs , 2004 .

[15]  J. Heineck,et al.  Photogrammetric recession measurements of ablative materials in arcjets , 2010 .

[16]  Hans-Gerd Maas,et al.  A volumetric 3D measurement tool for velocity field diagnostics in microgravity experiments , 1999 .

[17]  Hans Nørgaard Hansen,et al.  A combined optical and mechanical reference artefact for coordinate measuring machines. , 1997 .

[18]  H. Kunzmann,et al.  A Uniform Concept for Calibration, Acceptance Test, and Periodic Inspection of Coordinate Measuring Machines Using Reference Objects , 1990 .

[19]  M. Saadat,et al.  Measurement systems for large aerospace components , 2002 .