Abstract
For structured-light range imaging, color stripes can be used for increasing the number of distinguishable light patterns compared to binary BW stripes. Therefore, an appropriate use of color patterns can reduce the number of light projections and range imaging is achievable in single video frame or in “one shot”. On the other hand, the reliability and range resolution attainable from color stripes is generally lower than those from multiply projected binary BW patterns since color contrast is affected by object color reflectance and ambient light. This paper presents new methods for selecting stripe colors and designing multiple-stripe patterns for “one-shot” and “two-shot” imaging. We show that maximizing color contrast between the stripes in one-shot imaging reduces the ambiguities resulting from colored object surfaces and limitations in sensor/projector resolution. Two-shot imaging adds an extra video frame and maximizes the color contrast between the first and second video frames to diminish the ambiguities even further. Experimental results demonstrate the effectiveness of the presented one-shot and two-shot color-stripe imaging schemes.
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Rioux, M., Bechthold, G., Taylor, D., Duggan, M.: Design of a large depth of view three-dimensional camera for robot vision. Optical Engineering 26(12), 1245–1250 (1987)
Sato, K., Inokuchi, S.: Three-dimensional surface measurement by space encoding range imaging. Journal of Robotic System 2, 27–39 (1985)
Horn, E., Kiryati, N.: Toward optimal structured light patterns. Image and Vision Computing 17 (1999)
Hall-Holt, O., Rusinkiewicz, S.: Boundary Codes for Real-time Structured-light Range Scanning of Moving Objects. In: Proc. ICCV (2001)
Tajima, J., Iwakawa, M.: 3-D Data Acquisition by Rainbow Range Finder. In: Proc. 10th ICPR, Atlantic City, N.J, pp. 309–313 (1990)
Huang, P.S., Hu, Q., Jin, F., Chiang, F.: Color-encoded digital fringe projection technique for high-speed three-dimensional surface contouring. SPIE Optical Engineering 38(06), 1065–1071 (1999)
Carrihill, B., Hummel, R.: Experiments with the intensity ratio depth sensor. Computer Vision, Graphics, and ImageProcessing 32, 337–358 (1985)
Davies, C.J., Nixon, M.S.: A hough transformation for detecting the location and orientation of three-dimensional surfaces via color encoded spots. IEEE Trans. On Systems, Man,and Cybernetics 28(1B) (1998)
Boyer, K.L., Kak, A.C.: Color-encoded structured light for rapid active ranging. IEEE Transactions on Pattern Analysis and Machine Intelligence 9(1), 14–28 (1987)
Zhang, L., Curless, B., Seitz, S.M.: Rapid Shape Acquisition Using Color Structured Light and Multi-pass Dynamic Programming. In: 1st international symposium on 3D data processing, visualization, and transmission, Padova, Italy, June 19-21 (2002)
Caspi, D., Kiryati, N., Shamir, J.: Range Imaging with Adaptive Color Structured Light. IEEE PAMI 20, 470–480 (1998)
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© 2004 Springer-Verlag Berlin Heidelberg
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Je, C., Lee, S.W., Park, RH. (2004). High-Contrast Color-Stripe Pattern for Rapid Structured-Light Range Imaging. In: Pajdla, T., Matas, J. (eds) Computer Vision - ECCV 2004. ECCV 2004. Lecture Notes in Computer Science, vol 3021. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24670-1_8
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DOI: https://doi.org/10.1007/978-3-540-24670-1_8
Publisher Name: Springer, Berlin, Heidelberg
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