Fuzzy Based Augmented Reality for 3D Image Modelling

dc.contributor.authorK., Pradheep Kumar
dc.date.accessioned2023-01-17T10:26:32Z
dc.date.available2023-01-17T10:26:32Z
dc.date.issued2020
dc.description.abstractIn today’s world Augmented Reality and Virtual Reality is of prime importance. To create a scenario using Augmented Reality it is important to model objects in 3D space. Once the modelling is complete the Augmented Reality Map could be used in several applications like medicine where 3D bio printing should be done. It could also be used in education and teaching to illustrate complex working mechanisms. Here a fuzzy based algorithm has been proposed to create 3D models of objects for Augmented Reality maps. The Fuzzy rule method reduces RMSE, compared to AR Marker, Fingertips and Checkerboard by 35%, 45% and 21% respectively. The Fuzzy rule method also improves accuracy of resolution of images, compared to AR Marker, Fingertips and Checkerboard by 48%, 11% and 11% respectively.en_US
dc.identifier.urihttp://www.testmagzine.biz/index.php/testmagzine/article/view/5716
dc.identifier.urihttp://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8524
dc.language.isoenen_US
dc.publisherTEST Engineering & Managementen_US
dc.subjectComputer Scienceen_US
dc.subjectAugmented Realityen_US
dc.subject3D Image Modellingen_US
dc.subjectFuzzy logicen_US
dc.titleFuzzy Based Augmented Reality for 3D Image Modellingen_US
dc.typeArticleen_US

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