id: 06069456
dt: a
an: 06069456
au: Pabiasz, Sebastian; Starczewski, Janusz T.
ti: Meshes vs. depth maps in face recognition systems.
so: Rutkowski, Leszek (ed.) et al., Artificial intelligence and soft computing.
    11th international conference, ICAISC 2012, Zakopane, Poland, April
    29‒May 3, 2012. Proceedings, Part I. Berlin: Springer (ISBN
    978-3-642-29346-7/pbk). Lecture Notes in Computer Science 7267. Lecture
    Notes in Artificial Intelligence, 567-573 (2012).
py: 2012
pu: Berlin: Springer
la: EN
cc: 
ut: biometric; 3D face; mesh; depth map
ci: 
li: doi:10.1007/978-3-642-29347-4_66
ab: Summary: 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.
rv: