Non-deterministic method for semi-automatic calibration of smartphone-based OST HMDs

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MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (UNESP)-
Autor(es): dc.contributorUniversidade Tecnológica Federal do Paraná-
Autor(es): dc.creatorCovolan, João Pedro Mucheroni-
Autor(es): dc.creatorOliveira, Claiton-
Autor(es): dc.creatorSanches, Silvio Ricardo Rodrigues-
Autor(es): dc.creatorSementille, Antonio Carlos-
Data de aceite: dc.date.accessioned2025-08-21T15:25:50Z-
Data de disponibilização: dc.date.available2025-08-21T15:25:50Z-
Data de envio: dc.date.issued2025-04-29-
Data de envio: dc.date.issued2024-06-01-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.1007/s10055-024-00978-1-
Fonte completa do material: dc.identifierhttps://hdl.handle.net/11449/308028-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/308028-
Descrição: dc.descriptionAn Augmented Reality (AR) system must show real and virtual elements as if they coexisted in the same environment. The tridimensional aligment (registration) is particularly challenging on specific hardware configurations such as Head Mounted Displays (HMDs) that use Optical See-Through (OST) technology. In general, the calibration of HMDs uses deterministic optimization methods. However, non-deterministic methods have been proposed in the literature with promising results in distinct research areas. In this work, we developed a non-deterministic optimization method for the semi-automatic calibration of smartphone-based OST HMDs. We tested simulated annealing, evolutionary strategy, and particle swarm algorithms. We also developed a system for calibration and evaluated it through an application that aligned a virtual object in an AR environment. We evaluated our method using the Mean Squared Error (MSE) at each calibration step, considering the difference between the ideal/observed positions of a set of reference points and those estimated from the values determined for the calibration parameters. Our results show an accurate OST HMD calibration for the peripersonal space, with similar MSEs for the three tested algorithms.-
Descrição: dc.descriptionCoordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)-
Descrição: dc.descriptionUniversidade Estadual Paulista “Júlio de Mesquita Filho”, SP-
Descrição: dc.descriptionUniversidade Tecnológica Federal do Paraná, PR-
Descrição: dc.descriptionUniversidade Estadual Paulista “Júlio de Mesquita Filho”, SP-
Descrição: dc.descriptionCAPES: 88882.434354/2019-01-
Idioma: dc.languageen-
Relação: dc.relationVirtual Reality-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectCalibration-
Palavras-chave: dc.subjectHead mounted displays-
Palavras-chave: dc.subjectNon-deterministic optimization-
Palavras-chave: dc.subjectOptical see-through-
Palavras-chave: dc.subjectSmartphone-based AR-
Título: dc.titleNon-deterministic method for semi-automatic calibration of smartphone-based OST HMDs-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

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