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Self organizing maps for 3D face understanding

  • Częstochowa University of Technology
  • Radom Academy of Economics
  • Luxembourg Institute of Science and Technology
  • University of Catania

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationArtificial Intelligence and Soft Computing - 15th International Conference, ICAISC 2016, Proceedings
EditorsJacek M. Zurada, Ryszard Tadeusiewicz, Leszek Rutkowski, Marcin Korytkowski, Rafał Scherer, Lotfi A. Zadeh
PublisherSpringer Verlag
Pages210-217
Number of pages8
ISBN (Print)9783319393834
DOIs
Publication statusPublished - 2016
Event15th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2016 - Zakopane, Poland
Duration: 12 Jun 201616 Jun 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9693
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference15th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2016
Country/TerritoryPoland
CityZakopane
Period12/06/1616/06/16

Keywords

  • 3D face recognition
  • Self organizing maps
  • Understanding of images

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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