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

By Andreas Koschan, Marc Pollefeys, Mongi Abidi

This ebook provides the completely revised models of lectures given via major researchers throughout the Workshop on complicated 3D Imaging for security and safety together with the overseas convention on machine imaginative and prescient and development reputation CVPR 2005, held in San Diego, CA, united states in June 2005. It covers the present cutting-edge in 3D imaging for safeguard and security.

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According to a similar survey conducted by Besl in 1988, at least six different optical principles were applied for 3D range imaging9. Among them, laser scanning and structured light are by far the techniques that have been most widely used for 3D modeling of human faces. Passive modeling techniques use multiple intensity images of a scene usually captured without the sensors emitting any external lights. e. video. Passive modeling techniques include stereovision10,11, morphing12-19, structure from motion20,21, shape from space carving22-24, and shape from shading25-27.

Zhang, N. Snavely, B. Curless, and S. M. Seitz. Spacetime faces: high resolution capture for modeling and animation. ACM Trans. , 23(3):548-558, 2004. 47. Z. Zhang, Z. Liu, D. F. Cohen, E. Hanson, and Y. Shan. Robust and Rapid Generation of Animated Faces from Video Images: A Model-Based Modeling Approach. International Journal of Computer Vision, 58(1):93-119, 2004. 48. W. Zhao, R. Chellappa, P. J. Phillips, and A. Rosenfeld. Face recognition: A literature survey. ACM Comput. , 35(4):399-458, 2003.

This effect is seen in 3DfaceCam® generated models which appear as if built combining stripes. Detection of the stripes may become difficult if their colors match the facial texture or features. 3DfaceCam® gives the option to adjust intensities of the structured light for dark, brown, or fair complexion of the face. Light of the pattern of this device is in the visible range. Some projectors use invisible light patterns. com) enables onsite capture of 3D images. NIR has allowed this system to become more tolerant to ambient lighting conditions and independent from background color and artificial features such as make-up.

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