3D Imaging for Safety and Security (Computational Imaging - download pdf or read online

By Edited by Andreas Koschan, Marc Pollefeys, Mongi Abidi

ISBN-10: 1402061811

ISBN-13: 9781402061813

ISBN-10: 140206182X

ISBN-13: 9781402061820

This e-book provides the completely revised models of lectures given by means of prime researchers through the Workshop on complicated 3D Imaging for security and safety at the side of 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 security and safety.

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Using multiple stereo pairs may help avoid such inconsistencies. Medioni and Pesenti reconstructed faces from a sequence of face images captured by one camera49. The sequence was used to model large portion of the head by combining the partial models obtained by treating each two subsequent frames as stereo pair. Chen and Medioni have shown that it is possible to densely match faces in two stereo images without the assistance of structured light but by imposing additional constraints30. In their algorithm, starting with some seed points, matching on the whole image was spread by enforcing the disparity gradient and ordering constraints.

38 have shown that this resolution is well above the minimum; only beyond this minimum recognition rate is affected. The name ‘triangulation’ comes from the fact that depth is estimated from a triangular set-up: the laser source, the camera, and the object form a triangle. In triangulation, the location of a point on the laser profile captured by the CCD is related to the depth of the object point. When a horizontal laser line is projected on a surface having some depth variations, the line is 32 S.

Buxton, and P. Hammond. Dense Surface Point Distribution Models of the Human Face. In Proceedings of IEEE Workshop on Mathematical Methods in Biomedical Image Analysis, MMBIA 2001, pp. 153-160, 2001. 21. M. R. Kaus, V. Pekar, C. Lorenz, R. Truyen, S. Lobregt, and J. Weese. Automated 3-D PDM construction from segmented images using deformable models. IEEE Transactions on Medical Imaging, 22(8):1005-1013, August 2003. 22. T. Kim and J. Kittler. Locally Linear Discriminant Analysis for Multimodally Distributed Classes for Face Recognition with a Single Model Image.

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


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