SciELO - Scientific Electronic Library Online

vol.87 número212Composite materials reinforced with ceramic waste and matrix of unsaturated polyester for applications in the automotive industryCitral nanocontainers applied to guava fruits (Psidium Guajava L.) in postharvesting índice de autoresíndice de assuntospesquisa de artigos
Home Pagelista alfabética de periódicos  

Serviços Personalizados



Links relacionados

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



versão impressa ISSN 0012-7353
versão On-line ISSN 2346-2183


JARAMILLO-ROJAS, Gloria Elena  e  BRANCH-BEDOYA, John Willian. Optimized registration based on an ant colony for markerless augmented reality systems. Dyna rev.fac.nac.minas [online]. 2020, vol.87, n.212, pp.259-266. ISSN 0012-7353.

Accurate registration in augmented reality systems is essential to guarantee the visual consistency of the augmented environment. Although error in the virtual-real alignment is almost unavoidable, different approaches have been proposed to quantify and reduce such errors. However, many of the existing solutions require a lot of a priori information, or they only focus on camera calibration to guarantee good results in the registration. This article presents a heuristic method that aims to reduce registration errors in markerless augmented reality systems. The proposed solution sees error reduction as a mono-objective optimization problem, which is addressed by means of the Ant Colony Optimization (ACO) algorithm. Experimental results reveal the validity of the proposed method, reaching an average error of 1.49 pixels for long video sequences.

Palavras-chave : augmented reality; markerless registration; meta-heuristic method; ant colony optimization.

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