Abstract
This paper presents a rapid 3D face data acquisition method that uses a color-coded pattern and a stereo camera system. The technique works by projecting a color coded pattern on an object and capturing two images with two cameras. The proposed color encoding strategy not only increased the speed of feature matching but also increased the accuracy of the process. We then solved the correspondence problem between the two images by using epipolar constraint, disparity compensation based searching range reduction, and hue correlation. The proposed method was applied to 3D data acquisition and time efficiency was compared with previous methods. The time efficiency of the suggested method was improved by about 40% and reasonable accuracy was achieved.
Chapter PDF
Similar content being viewed by others
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
References
Yang, H.S., Boyer, K.L., Kak, A.C.: Range data extraction and interpretation by structured light. In: Proc. 1st IEEE Conference on Artificial Intelligence Applications, Denver, CO, pp. 199–205 (1984)
Boyer, K.L., Kak, A.: Color-encoded structured light for rapid active ranging. IEEE Trans. Pattern Analysis and Machine Intelligence, 14–28 (1987)
Hsieh, C.H., Tsai, C.J., Hung, Y.P., Hsu, S.C.: Use of chromatic information in region-based stereo. In: Proc. IPPR Conference on Computer Vision, Graphics, and Image Processing, Nantou, Taiwan, pp. 236–243 (1993)
Chen, C., Hung, Y., Chiang, C., Wu, J.: Range data acquisition using color structured lighting and stereo vision. Image and Vision Computing, 445–456 (March 1997)
E. Trucco, A. Verri: Introductory Techniques for 3-D Computer Vision. Prentice Hall, Englewood Cliffs (1998)
Hartley, R., Zisserman, A.: Multiple view Geometry in computer vision. Cambridge University Press, Cambridge (2000)
Ohta, Y., Kanade, T.: Stereo by intra and inter scan line search using dynamic programming. IEEE Transactions on Pattern Analysis and Machine Intelligence 7(2), 139–154 (1985)
Gonzales, R.C., Woods, R.E.: Digital Image Processing. Addison-Wesley, Reading (1992)
Jahn, H.: Parallel Epipolar Stereo Matching. In: IEEE int. Conf. on Pattern Recognition, ICPR 2000, pp. 402–405 (2000)
Shin, D.: The hard calibration of structured light for the Euclidian reconstruction of face data. Master’s Thesis. Dept. of Electrical and Electronic Engineering. Yonsei University (2004)
Yang, S., Lee, S., Kim, J.: Rapid Shape Acquisition for Recognition Using Absolutely Coded Pattern. In: Comm. Int. Symp. Intell. Signal Process., Comm. Systems (ISPACS), Seoul, Korea, November 2004, pp. 620–624 (2004)
Zhang, L., Curless, B., Seitz, S.M.: Rapid Shape Acquisition Using Color Structured Light and Multi-pass Dynamic Programming. In: Proc. of First International Symposium on 3D Data Processing Visualization and Transmission, Junuary 2002, pp. 24–36 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kim, B., Yu, S., Lee, S., Kim, J. (2005). Rapid 3D Face Data Acquisition Using a Color-Coded Pattern and a Stereo Camera System. In: Zhang, D., Jain, A.K. (eds) Advances in Biometrics. ICB 2006. Lecture Notes in Computer Science, vol 3832. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11608288_4
Download citation
DOI: https://doi.org/10.1007/11608288_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31111-9
Online ISBN: 978-3-540-31621-3
eBook Packages: Computer ScienceComputer Science (R0)