Abstract
The goal of this paper is to present data structures in 3D face recognition systems emphasizing the role of meshes and depth maps. 3D face recognition systems are still in development since they use different data structures. There is no standarized form of 3D face data. Dedicated hardware (3D scanners) usually provide depth maps of objects, which is not sufficiently flexible data sturcture. Meshes are huge structures and operating on them is difficult and requieres a lot of resources. In this paper, we present advantages and disadvantages of both types of data structures in 3d face recognition systems.
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© 2012 Springer-Verlag Berlin Heidelberg
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Pabiasz, S., Starczewski, J.T. (2012). Meshes vs. Depth Maps in Face Recognition Systems. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2012. Lecture Notes in Computer Science(), vol 7267. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29347-4_66
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DOI: https://doi.org/10.1007/978-3-642-29347-4_66
Publisher Name: Springer, Berlin, Heidelberg
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