Digital Projector Calibration for 3-D Active Vision Systems

[+] Author and Article Information
Tzung-Sz Shen, Chia-Hsiang Menq

Coordinate Metrology and Measurement Laboratory, Department of Mechanical Engineering, The Ohio State University, 206 W. 18th Avenue, Columbus, OH 43210-1154

J. Manuf. Sci. Eng 124(1), 126-134 (Apr 01, 2000) (9 pages) doi:10.1115/1.1418694 History: Received April 01, 2000
Copyright © 2002 by ASME
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Chen,  L. C., and Lin,  G. C., 1997, “A Vision-Aided Reverse Engineering Approach to Reconstructing Free-From Surfaces,” Rob. Comput.-Integr. Manufact., 13, No. 4, pp. 323–336.
Nashman,  M., 1993, “Vision and Touch Sensors for Dimensional Inspection,” Manufacturing Review,6, No. 2, pp. 155–162.
Shen,  T. S., Huang,  J., and Menq,  C. H., 2000, “Multiple-sensor Integration for Rapid and High-precision Coordinate Metrology,” IEEE/ASME Transactions on Mechatronics,5, No. 2, pp. 110–121.
Forman,  P. F., 1979, “Interferometric Examination of Lenses, Mirrors, and Optical Systems,” Proc. SPIE, 163, pp. 103.
Cline,  H., Holik,  A., and Lorensen,  W., 1984, “Automatic Moiré Contouring,” Appl. Opt., 23, pp. 1454–1459.
Meadows,  D., Johnson,  W., and Allen,  J., 1970, “Generation of Surface Contours by Moiré Pattern,” Appl. Opt., 9, pp. 942–947.
Maas,  H., 1992, “Robust Automatic Surface Reconstruction with Structured Light,” International Archives of Photogrammetry and Remote Sensing,XXIX, part B5, pp. 102–107.
Hu,  G., and Stockman,  G., 1989, “3-D Surface Solution Using Structure Light and Constraint Propagation,” IEEE Trans. Pattern Anal. Mach. Intell., 11, No. 4, pp. 390–402.
Le Moigne,  J. J., and Waxman,  A. M., 1988, “Structured Light Patterns for Robot Mobility,” IEEE Journal of Robotics and Automation , 4, No. 5, pp. 541–548.
Boyer,  K. L., and Kak,  A. C., 1987, “Color-encoded Structure Light for Rapid Active Ranging,” IEEE Trans. Pattern Anal. Mach. Intell., 9, No. 1, pp. 14–28.
Chen, C. H., and Kak, A. C., 1987, “Modeling and Calibration of a Structured Light Scanner for 3-D Robot Vision,” Proceedings of IEEE International Conference on Robotics and Automation, 2, pp. 807–815.
Yang, J., Lee, N. L., and Menq, C. H., 1995, “Application of Computer Vision in Reverse Engineering for 3-D Coordinate Acquisition,” Symposium of Concurrent Product and Process Engineering, ASME International Mechanical Engineering Congress and Exposition, pp. 143–156.
Battle,  J., Mouaddib,  E., and Salvi,  J., 1998, “Recent Progress in Coded Structured Light as a Technique to Solve the Correspondence Problem: a Survey,” Pattern Recogn., 31, No. 7, pp. 963–982.
Stahs, T., and Wahl, F., 1992, “Fast and Versatile Range Data Acquisition in a Robot Work Cell,” Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, Raleigh, N.C., July 7–10, pp. 1169–1174.
Reid,  I. D., 1996, “Projective Calibration of a Laser-stripe Range Finder,” Image Vis. Comput., 14, pp. 659–666.
Huynh,  D. Q., Owens,  R. A., and Hartmann,  P. E., 1999, “Calibrating a Structured Light Stripe System: A Novel Approach,” Int. J. Comput. Vis., 33, No. 1, pp. 73–86.
Valkenburg,  R. J., and McIvor,  A. M., 1998, “Accurate 3-D Measurement Using a Structured Light System,” Image Vis. Comput., 16, pp. 99–110.
Shen,  T. S., and Menq,  C. H., 2001, “Automatic Camera Calibration for a Multiple-Sensor Integrated Coordinate Measurement System,” IEEE Trans. Rob. Autom., 17, No. 4, pp. 502–507.
Douglass, M. R., 1998, “Lifetime Estimations and Unique Failure Mechanisms of the Digital Micromirror Device (DMD),” IEEE International Reliability Physics Proc., pp. 9–16.
Hornbeck,  L. J., 1998, “From Cathode Rays to Digital Micromirrors: a History of Electronic Projection Display Technology,” Texas Instrument Technical Journal (special DLP issue),15, No. 3, pp. 7–40.
Shen, T. S., 2000. “Multiple-Sensor Integration for Rapid and High-Precision Coordinate Metrology,” Ph.D. Thesis, Department of Mechanical Engineering, The Ohio State University, Columbus, OH.
Borm,  J. H., and Menq,  C. H., 1991, “Determination of Optimal Measurement Configurations for Robot Calibration Based on Observability Measure,” Int. J. Robot. Res., 10, No. 1, pp. 51–63.
Menq,  C. H., Borm,  J. H., and Lai,  Z. C., 1989, “Identification and Observability Measure of a Basis Set of Error Parameters in Robot Calibration,” ASME J. Mech., Transm., Autom. Des., 111, No. 4, pp. 513–518.


Grahic Jump Location
The configuration of the 3-D active vision system
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Light beam image (left; zoomed out) and its gray-level intensity (right)
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Light beam calibration using multiple-plane method
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The setup for rigid body transformation calibration of the digital projector
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Coordinate calculation with structured light stripe patterns
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The image (left) and sampled image points (right) of light beams in a grid
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Plane fitting residual errors using different interpolation functions (a) first order polynomial functions (b) second order polynomial functions




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