Definition
To uniquely characterize human subjects based on the structural information contained in their three-dimensional (3D) facial models, using image similarity measurements.
Introduction
Numerous open problems exist in the area of two-dimensional (2D) automatic human face recognition, wherein monochrome/color images of faces are employed. These include invariance to differences in facial pose, ambient illumination, and facial expression. Recently, using 3D geometric facial models for recognition has been proposed as a potential solution to some of these problems. Three-dimensional facial images are acquired using 3D imaging devices, e.g., laser range finders or stereo cameras. They provide structural information about the human face that cannot be had from a single 2D image. They are invariant to ambient illumination during image acquisition, and it is trivial to correct their pose by rigid...
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References
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© 2008 Springer-Verlag
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Gupta, S., Markey, M.K., Bovik, A.C. (2008). Frequency Domain Representations for Three Dimentional Face Recognition. In: Furht, B. (eds) Encyclopedia of Multimedia. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-78414-4_22
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DOI: https://doi.org/10.1007/978-0-387-78414-4_22
Publisher Name: Springer, Boston, MA
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