3d Imaging for Safety and Security by Andreas Koschan, Marc Pollefeys, Mongi Abidi

By Andreas Koschan, Marc Pollefeys, Mongi Abidi

This publication offers the completely revised models of lectures given via best researchers through the Workshop on complicated 3D Imaging for security and safety at the side of the foreign 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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This results in a special 2D image that incorporates the 3D geometry of the face in an expression-invariant manner. PCA is then used to capture variability of these signature images. A comparison of multimodal approaches fusing 2D and 3D is presented in 5,7. 6. SUMMARY AND CONCLUSIONS The use of 3D information in face recognition has lately been attracting ever increasing levels of attention in the biometrics community. In this chapter we reviewed the full spectrum of 3D face processing technology, from sensing to recognition.

The reviewed techniques are laser range scans, 3D from structured light projection, stereo vision, morphing, shape from motion, shape from space carving, and shape from shading. Concepts, accuracy, feasibility, and limitations of these techniques and their effectiveness for 3D face recognition are discussed. Key words: 3D face reconstruction, face recognition, laser range scanner, structured light, stereo vision, morphing, shape from shading, shape from motion. 1. INTRODUCTION Face recognition has become one of the most active research fields in computer vision due to increasing demands in commercial and law enforcement applications.

Samaras, D. N. Metaxas, A. Elgammal, and P. Huang. High resolution acquisition, learning and transfer of dynamic 3d facial expressions. Comput. Graph. Forum, 23(3):677-686, 2004. 40. Y. Wang, C. Chua, and Y. Ho. Facial feature detection and face recognition from 2D and 3D images. Pattern Recognition Letters, 23(10):1191-1202, 2002. 41. C. Xu, Y. Wang, T. Tan, and L. Quan. Three-dimensional face recognition using geometric model. In Proc. SPIE Vol. 5404, pp. 304-315, 2004. 42. M. Yang, D. J. Kriegman, and N.

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