By Andreas Koschan, Marc Pollefeys, Mongi Abidi
This ebook provides the completely revised models of lectures given by means of major researchers through the Workshop on complicated 3D Imaging for security and safety together with the overseas convention on machine imaginative and prescient and trend attractiveness CVPR 2005, held in San Diego, CA, united states in June 2005. It covers the present state-of-the-art in 3D imaging for protection and security.
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Extra resources for 3d Imaging for Safety and Security
1 MB. 3. ACTIVE MODELING TECHNIQUES In active modeling, an external light is projected on the object surface. Two well known active reconstruction methods, laser scanning and structured light projection, have been widely used for modeling human faces. In the following two subsections, we review these two techniques and their underlying theories. 1 Laser Range Scanning In laser-scanning techniques, a laser line or a single-spot laser beam is scanned over the subject of interest to obtain a sequence of scan images from where a 3D surface of the subject is recovered35.
Correlation between Gaussian images of convex regions on the face is used as a similarity measure. Another approach investigating the use of 3D for face recognition is the method of Gordon16. Curvature-based descriptors are computed over various regions of the face and used as features. 38. 8. The algorithm can deal with the human facial expressions. An example of a recent approach basing recognition on shape only is the method of Xu41. 18 proposed an algorithm based on a combination of a variety of facial surface representations using Fisher surface method.
P. J. Phillips, P. J. Flynn, T. Scruggs, K. W. Bowyer, J. Chang, K. Hoffman, J. Marques, J. Min, and W. Worek. Overview of the face recognition grand challenge. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 947-954, 2005. 32. P. J. Phillips, P. Grother, R. M. 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.