Read e-book online 3D Imaging for Safety and Security (Computational Imaging PDF

By Edited by Andreas Koschan, Marc Pollefeys, Mongi Abidi

ISBN-10: 1402061811

ISBN-13: 9781402061813

ISBN-10: 140206182X

ISBN-13: 9781402061820

This booklet provides the completely revised types of lectures given via major researchers through the Workshop on complex 3D Imaging for security and safety along side the overseas convention on desktop imaginative and prescient and trend 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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Extra info for 3D Imaging for Safety and Security (Computational Imaging and Vision)

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During the scanning process, either both camera and laser together or the object alone are moved in linear motion. Without disturbing the setup, a scanned video of the calibration pattern is captured in the same manner. Depth can be recovered by extracting calibration parameters from the second video and applying them to the profiles in the first video. Figure 2-3. 3D Face Reconstruction using laser scanning: (a) Basic geometry of active triangulation from laser scanning, (b) a laser scan setup at the IRIS lab, (c) one frame of the laser scan sequence with the profile seen at the nose base, and (d) the reconstructed dense 3D head model.

Edwards, and C. J. Taylor. Active Appearance Models. In Proc. of European Conference of Computer Vision, 2:484-498, 1998. 12. D. DeCarlo, D. Metaxas, and M. Stone. An Anthropometric Face Model using Variational Techniques. In SIGGRAPH ‘98: Proceedings of the 25th annual conference on Computer graphics and interactive techniques, pages 67-74, 1998. 13. M. Everingham and A. Zisserman. Automated Visual Identification of Characters in Situation Comedies. In Proc. of 17th International Conference on Pattern Recognition, (ICPR’04), pp.

The estimates were obtained from V and the cost function was optimized for a set of control points, V', featuring the 3D facial model of an individual. 69, facial feature points on the 2D image were located first and depths at those points were estimated through multi-variant linear regression. Radial Basis Function based interpolation was utilized to morph a 3D generic model. Radial Basis Function methods can interpolate points of more than one variable from a given set of irregularly positioned points.

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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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