TY - GEN
T1 - Self organizing maps for 3D face understanding
AU - Starczewski, Janusz T.
AU - Pabiasz, Sebastian
AU - Vladymyrska, Natalia
AU - Marvuglia, Antonino
AU - Napoli, Christian
AU - Wózniak, Marcin
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016
Y1 - 2016
N2 - Landmarks are unique points that can be located on every face. Facial landmarks typically recognized by people are correlated with anthropomorphic points. Our purpose is to employ in 3D face recognition such landmarks that are easy to interpret. Face understanding is construed as identification of face characteristic points with automatic labeling of them. In this paper, we apply methods based on Self Organizing Maps to understand 3D faces.
AB - Landmarks are unique points that can be located on every face. Facial landmarks typically recognized by people are correlated with anthropomorphic points. Our purpose is to employ in 3D face recognition such landmarks that are easy to interpret. Face understanding is construed as identification of face characteristic points with automatic labeling of them. In this paper, we apply methods based on Self Organizing Maps to understand 3D faces.
KW - 3D face recognition
KW - Self organizing maps
KW - Understanding of images
UR - https://www.scopus.com/pages/publications/84977471207
U2 - 10.1007/978-3-319-39384-1_19
DO - 10.1007/978-3-319-39384-1_19
M3 - Conference contribution
AN - SCOPUS:84977471207
SN - 9783319393834
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 210
EP - 217
BT - Artificial Intelligence and Soft Computing - 15th International Conference, ICAISC 2016, Proceedings
A2 - Zurada, Jacek M.
A2 - Tadeusiewicz, Ryszard
A2 - Rutkowski, Leszek
A2 - Korytkowski, Marcin
A2 - Scherer, Rafał
A2 - Zadeh, Lotfi A.
PB - Springer Verlag
T2 - 15th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2016
Y2 - 12 June 2016 through 16 June 2016
ER -