Summary
The increasing need of providing information about the surface of complex 3D objects accounts for new approaches in shape, color and reflectivity measurements. A method integrating 3D shape and reflectance measurement has been developed, based on multispectral imaging and directional illumination. The unified data representation of objects under investigation can aid machine vision, digital documentation and expand means of realistic imaging of unique items in virtual reality. While there already exist methods of merging image based reflectance measurements with 3D data collected independently, this is a step toward integration and increase of data correspondence. Also, the proposed data processing method allows further extension, and fulfills needs of both an accurate and mobile solution.
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References
Bieri, L.S., Jacot, J.: Three-dimensional vision using structured light applied to quality control in production line. In: Proc. SPIE, vol. 5457, p. 463 (2004)
Kubik, D.L., Greenwood, J.A.: Development of photogrammetric methods of stress analysis and quality control. Technical Sciences University of Warmia and Mazury in Olsztyn 6, 73–100 (2003)
Francken, Y., Cuypers, T., Mertens, T., Gielis, J., Bekaert, P.: High quality mesostructure acquisition using specularities. Computer Vision and Pattern Recognition, 1–7 (2008)
Sitnik, R., Witkowski, M.: Locating and tracing of anatomical landmarks based on full-field 4d measurement of human body surface. Journal of Biomedical Optics 13 (2008)
Jensen, H.W., Marschner, S.R., Levoy, M., Hanrahan, P.: A practical model for subsurface light transport. In: Proc. SIGGRAPH 2001, pp. 511–518 (2001)
Sitnik, R., Kujawinska, M., Woznicki, J.: Digital fringe projection system for large-volume 360-deg shape measurement. Opt. Eng. 41, 443–449 (2002)
Tonsho, K., Akao, Y., Tsumura, N., Miyake, Y.: Development of Goniophotometric Imaging System for Recording Reflectance Spectra of 3D Objects. In: Proc. SPIE Color Imaging: Device-Independent Color, Color Hardcopy, and Applications VII, vol. 4663, pp. 370–378 (2002)
Sitnik, R.: New method of structure light measurement system calibration based on adaptive and effective evaluation of 3D-phase distribution. In: Proc. SPIE, vol. 5856, pp. 109–117 (2005)
Wyszecki, G., Stiles, W.S.: Color Science: Concepts and Methods, Quantitative Data and Formulae. John Wiley & Sons, Chichester (2000)
Lafortune, E., Foo, S., Torrance, K., Greenberg, D.: Non-linear approximation of reflectance functions. In: SIGGRAPH 1997 Conference Proceedings, Annual Conference Series, pp. 117–126 (1997)
Phong, B.T.: Illumination for computer generated pictures. Communications of the ACM 18, 311–317 (1975)
Malacara, D.: Color Vision and Colorimetry: Theory and Applications. SPIE Press, San Jose (2002)
Besl, P.J., McKay, N.D.: A method for registration of 3-d shapes. IEEE Transactions on Pattern Analysis and Machine Intelligence 14, 239–256 (1992)
Lee, L.C.: Color Imaging Science. Cambridge University Press, Cambridge (2005)
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Sitnik, R., Krzesłowski, J., Mączkowski, G. (2010). Extending 3D Shape Measurement with Reflectance Estimation. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 2. Advances in Intelligent and Soft Computing, vol 84. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16295-4_20
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DOI: https://doi.org/10.1007/978-3-642-16295-4_20
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