0000000000226550

AUTHOR

Anca Morar

showing 3 related works from this author

CultReal—A Rapid Development Platform for AR Cultural Spaces, with Fused Localization

2021

Virtual and augmented reality technologies have known an impressive market evolution due to their potential to provide immersive experiences. However, they still have significant difficulties to enable fully fledged, consumer-ready applications that can handle complex tasks such as multi-user collaboration or time-persistent experiences. In this context, CultReal is a rapid creation and deployment platform for augmented reality (AR), aiming to revitalize cultural spaces. The platform’s content management system stores a representation of the environment, together with a database of multimedia objects that can be associated with a location. The localization component fuses data from beacons …

Computer scienceOrientation (computer vision)Chemical technologyContext (language use)TP1-1185Mobile ApplicationsBiochemistryArticleAtomic and Molecular Physics and Opticsaugmented realitylocalizationcomputer visionAnalytical ChemistryBeaconHuman–computer interactionSoftware deploymentComputers HandheldComponent (UML)beaconsAugmented realitySmartphoneElectrical and Electronic EngineeringInstrumentationMobile deviceImplementationSensors
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A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision

2020

Computer vision based indoor localization methods use either an infrastructure of static cameras to track mobile entities (e.g., people, robots) or cameras attached to the mobile entities. Methods in the first category employ object tracking, while the others map images from mobile cameras with images acquired during a configuration stage or extracted from 3D reconstructed models of the space. This paper offers an overview of the computer vision based indoor localization domain, presenting application areas, commercial tools, existing benchmarks, and other reviews. It provides a survey of indoor localization research solutions, proposing a new classification based on the configuration stage…

0209 industrial biotechnologyQR codesComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologylcsh:Chemical technologyBiochemistryArticlecomputer visionAnalytical ChemistryDomain (software engineering)fiducial markers020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringComputer visionlcsh:TP1-11853D reconstructionElectrical and Electronic EngineeringInstrumentationOrientation (computer vision)business.industry3D reconstructionAtomic and Molecular Physics and Opticsindoor localizationVideo trackingRobot020201 artificial intelligence & image processingAugmented realityArtificial intelligencebusinessSensors
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Evaluation of the ARCore Indoor Localization Technology

2020

Augmented reality has become a very powerful tool nowadays. With the recent technological advance, smartphones have the ability to display augmented content on the screen. What makes the difference is the naturalness with which the multimedia content is superimposed over the video stream acquired with the phone's camera. This perfect overlay depends on the accurate estimation of the position and orientation of the smartphone's camera relative to the 3D representation of the space. ARCore is an augmented reality framework that computes the position and orientation of the smartphone. In order to assess the possibility of integrating ARCore within a virtual and augmented reality platform, we e…

Data visualizationNaturalnessbusiness.industryOrientation (computer vision)PhoneHuman–computer interactionComputer scienceAugmented realityOverlaybusinessRepresentation (mathematics)Visualization2020 19th RoEduNet Conference: Networking in Education and Research (RoEduNet)
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