3D Imaging for Safety and Security (Computational Imaging by Edited by Andreas Koschan, Marc Pollefeys, Mongi Abidi

By Edited by Andreas Koschan, Marc Pollefeys, Mongi Abidi

This booklet provides the completely revised models of lectures given by way of best researchers in the course of the Workshop on complex 3D Imaging for security and safety along side the foreign convention on laptop imaginative and prescient and trend reputation CVPR 2005, held in San Diego, CA, united states in June 2005. It covers the present state-of-the-art in 3D imaging for security and safety.

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Blackburn, E. Tabassi, and M. Bone. Face recognition vendor test 2002: Evaluation Report. html, National Institute of Standards and Technology, 2004. 33. B. T. Phong. Illumination for computer generated pictures. Commun. ACM, 18(6): 311-317, 1975. 34. M. Proesmans and L. VanGool. Active Acquisition of 3D Shape for Moving Objects. In ICIP, pages 647-650, 1996. 35. S. Rusinkiewicz, O. Hall-Holt, and M. Levoy. Real-Time 3D Model Acquisition. In SIGGRAPH ‘02: Proceedings of the 29th annual conference on Computer graphics and interactive techniques, pages 438-446, 2002.

However, they are expensive and can have a number of technical limitations: (1) they are invasive hence unable to reveal the details beyond a limit; current active techniques use stripe or dot patterns that are wide hence hinder the detection of details of the surface beyond a limit; (2) they are not scalable; faces captured from long distance can not be reconstructed densely or reliably which is also true for passive reconstruction but to a lesser extent. 4. PASSIVE MODELING TECHNIQUES This class of 3D modeling techniques comprises the following approaches: 3D from Stereo, Morphing, 3D from Motion, and 3D from Shading.

The structured light pattern shown in Figure 2-4(b) is similar to the rainbow like pattern of Figure 2-1(a) and Figure 2-1(b). 3DfaceCam® uses Eq. (1) for reconstruction with different θ for the different stripes of the rainbow5. Figure 2-4. 3D Face Reconstruction from structured light projections: (a) A simple structured light projector setup, (b) Structured light projected on a face (the real structured light projected on the face is black and white, see Figure 2-1), (c) Shaded 3D face, and (d) Textured reconstructed face.

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