By Andreas Koschan, Marc Pollefeys, Mongi Abidi
This booklet offers the completely revised models of lectures given by means of major researchers through the Workshop on complicated 3D Imaging for security and safety together with the overseas convention on laptop imaginative and prescient and trend popularity CVPR 2005, held in San Diego, CA, united states in June 2005. It covers the present cutting-edge in 3D imaging for protection and security.
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Extra resources for 3d Imaging for Safety and Security
V. Blanz and T. Vetter. Face Recognition Based on Fitting a 3D Morphable Model. IEEE Trans. Pattern Anal. Mach. , 25(9):1063-1074, 2003. 4. F. Bookstein. Principal warps: Thin-plate splines and the decomposition of deformations. IEEE PAMI, 2(6):567-585, June 1989. 5. K. W. Bowyer, K. Chang, and P. Flynn. A Survey Of Approaches To Three-Dimensional Face Recognition. In Proc. of 17th International Conference on Pattern Recognition (ICPR'04), 1:358-361, 2004. 6. A. M. Bronstein, M. M. Bronstein, and R.
Reconstructed faces sparsely from trinocular stereo 40 S. Huq et al. images50. Three cameras were used to capture lower, central, and upper views of the face. Stereo correspondences were established at isoluminance lines. Isoluminance lines are the boundaries between black and white portions on the face obtained from thresholding. Edges and boundaries of facial features such as eyes, nose, and mouth reveal themselves through isoluminance lines. In adverse lighting conditions, stereo correspondence algorithms might fail and so might the depth recovery process.
Y. Li, S. Gong, and H. Lidell. Support Vector Regression and Classification Based Multiview Face Detection and Recognition. In Proc. of IEEE Int. Conference on Face and Gesture Recognition, pp. 300-305, 2000. 27. X. Lu, D. Colbry, and A. K. Three-Dimensional Model Based Face Recognition. In Proc. of 17th International Conference on Pattern Recognition, (ICPR’04), Volume 1:362-366, 2004. 22 M. Hamouz et al. 28. Z. Mao, P. Siebert, P. Cockshott, and A. Ayoub. Constructing dense correspondences to analyze 3d facial change.
3d Imaging for Safety and Security by Andreas Koschan, Marc Pollefeys, Mongi Abidi