Swarm intelligence and evolutionary computation approaches for 2D face recognition: a systematic review

  • Guilherme Felippe Plichoski UDESC
  • Chidambaram Chidambaram UNIVERSIDADE DO ESTADO DE SANTA CATARINA - UDESC
  • Rafael Stubs Parpinelli UNIVERSIDADE DO ESTADO DE SANTA CATARINA - UDESC

Resumo

A wide range of approaches for 2D face recognition (FR) systems can be found in the literature due to its high applicability and issues that need more investigation yet which include occlusion, variations in scale, facial expression, and illumination. Over the last years, a growing number of improved 2D FR systems using Swarm Intelligence and Evolutionary Computing algorithms have emerged. The present work brings an up-to-date Systematic Literature Review (SLR) concerning the use of Swarm Intelligence and Evolutionary Computation applied in 2D FR systems. Also, this review analyses and points out the key techniques and algorithms used and suggests some directions for future research.

Biografia do Autor

Guilherme Felippe Plichoski, UDESC
Programa de Pós-Graduação em Computação Aplicada - PPGCA
Chidambaram Chidambaram, UNIVERSIDADE DO ESTADO DE SANTA CATARINA - UDESC
Departamento de Engenharia de Produção e Sistemas - DEPS
Rafael Stubs Parpinelli, UNIVERSIDADE DO ESTADO DE SANTA CATARINA - UDESC
Programa de Pós-Graduação em Computação Aplicada - PPGCA
Publicado
2018-07-17
Como Citar
[1]
Plichoski, G., Chidambaram, C. e Parpinelli, R. 2018. Swarm intelligence and evolutionary computation approaches for 2D face recognition: a systematic review. Revista Brasileira de Computação Aplicada. 10, 2 (jul. 2018), 2-17. DOI:https://doi.org/10.5335/rbca.v10i2.8046.
Seção
Tutorial
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