SciELO - Scientific Electronic Library Online

 
vol.20 número2AFPGA architecture for foraging behavior in simulation and coloniesTechnologies and applications review of subvocal speech índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados

Journal

Artigo

Indicadores

Links relacionados

  • Em processo de indexaçãoCitado por Google
  • Não possue artigos similaresSimilares em SciELO
  • Em processo de indexaçãoSimilares em Google

Compartilhar


Ingeniería

versão impressa ISSN 0121-750Xversão On-line ISSN 2344-8393

Resumo

RODRIGUEZ, Julián S.  e  PRIETO, Flavio. Analysis and comparison of the cone curvature descriptor in facial gesture recognition tasks. ing. [online]. 2015, vol.20, n.2, pp.271-285. ISSN 0121-750X.

This article presents the results of analyzing the behavior of the Cone Curvature shape descriptor (CC) in the task of recognition of facial expressions in 3D images. The CC descriptor is a representation of the 3D model computed from a set of waves modeling for each vertex of a polygon mesh. The 3D Facial Expression Database (BU-3DFE) was used,which contains images with six facial expressions.With theuse ofthe CCdescriptor, the expressions were recognized in an average percentage of 76.67% with a neural network,and of 78.88% with a Bayesian classifier. By combining the CC descriptor with other descriptors such as DESIRE and Spherical Spin Image, it was achieved an average percentage of gesturere cognition of 90.27% and 97.2%, using the mentioned classifiers.

Palavras-chave : Artificial vision; facial recognized; shape descriptors.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )

 

Creative Commons License Todo o conteúdo deste periódico, exceto onde está identificado, está licenciado sob uma Licença Creative Commons