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dc.date.accessioned 2017-10-13T16:01:49Z
dc.date.available 2017-10-13T16:01:49Z
dc.date.issued 2017-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/62944
dc.description.abstract In recent years, Augmented Reality has become a very popular topic, both as a research and commercial field. This trend has originated with the use of mobile devices as computational core and display. The appearance of virtual objects and their interaction with the real world is a key element in the success of an Augmented Reality software. A common issue in this type of software is the visual inconsistency between the virtual and real objects due to wrong illumination. Although illumination is a common research topic in Computer Graphics, few studies have been made about real time estimation of illumination direction. In this work we present a low-cost approach to detect the direction of the environment illumination, allowing the illumination of virtual objects according to the real light of the ambient, improving the integration of the scene. Our solution is open-source, based on Arduino hardware and the presented system was developed on Android. en
dc.format.extent 149-153 es
dc.language en es
dc.subject Arduino es
dc.subject Interfaz Usuario-Computador es
dc.subject Artificial, augmented, and virtual realities es
dc.subject Android es
dc.title Estimating Illumination Direction for Augmented Reality in Real-Time by using Low-Cost Sensors en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/2017/10/JCST-45-Paper-8.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Soulier, Kevin E. es
sedici.creator.person Selzer, Matías Nicolás es
sedici.creator.person Larrea, Martín Leonardo es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution 4.0 International (CC BY 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by/4.0/
sedici.description.peerReview peer-review es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 17, no. 2 es


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Creative Commons Attribution 4.0 International (CC BY 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution 4.0 International (CC BY 4.0)