Rapid 3D Face Data Acquisition Using a Color-Coded Pattern and a Stereo Camera System
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.
Keywords
Stereo Match Time Efficiency Epipolar Line Epipolar Constraint Stereo CorrespondenceReferences
- 1.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)Google Scholar
- 2.Boyer, K.L., Kak, A.: Color-encoded structured light for rapid active ranging. IEEE Trans. Pattern Analysis and Machine Intelligence, 14–28 (1987)Google Scholar
- 3.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)Google Scholar
- 4.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)Google Scholar
- 5.E. Trucco, A. Verri: Introductory Techniques for 3-D Computer Vision. Prentice Hall, Englewood Cliffs (1998)Google Scholar
- 6.Hartley, R., Zisserman, A.: Multiple view Geometry in computer vision. Cambridge University Press, Cambridge (2000)MATHGoogle Scholar
- 7.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)CrossRefGoogle Scholar
- 8.Gonzales, R.C., Woods, R.E.: Digital Image Processing. Addison-Wesley, Reading (1992)Google Scholar
- 9.Jahn, H.: Parallel Epipolar Stereo Matching. In: IEEE int. Conf. on Pattern Recognition, ICPR 2000, pp. 402–405 (2000)Google Scholar
- 10.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)Google Scholar
- 11.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)Google Scholar
- 12.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)Google Scholar