2019
DOI: 10.1007/978-3-030-17798-0_10
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Cooperation of Virtual Reality and Real Objects with HoloLens

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Cited by 9 publications
(3 citation statements)
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“…The assessment of accuracy and precision in the representation of movable virtual objects is an opportunity to extend this research, which is currently limited to measuring these indicators for static virtual objects. The studies by Cýrus et al [21] indicate that the recognition of fiducial markers is a more suitable alternative for representing mobile virtual objects; however, the analysis of the characteristics that favor the recognition of markers is associated with the field of computer vision and is outside this study scope.…”
Section: Discussionmentioning
confidence: 95%
“…The assessment of accuracy and precision in the representation of movable virtual objects is an opportunity to extend this research, which is currently limited to measuring these indicators for static virtual objects. The studies by Cýrus et al [21] indicate that the recognition of fiducial markers is a more suitable alternative for representing mobile virtual objects; however, the analysis of the characteristics that favor the recognition of markers is associated with the field of computer vision and is outside this study scope.…”
Section: Discussionmentioning
confidence: 95%
“…Then, we used singular value decomposition (SVD) to solve Gij${G_{ij}}$ to obtain the following 17 : Gbadbreak=TDUT\begin{equation}G\ = \ TD{U^T}\end{equation}…”
Section: Methodsmentioning
confidence: 99%
“…Utilizing it demands increased application memory and may introduce potential overhead due to additional graphic and physics processing, particularly when used continuously. AR development platforms such as Vuforia could be used together with MR devices to support object recognition [15]. In this scenario, Vuforia could be used to recognize physical objects or images in the environment when viewed though the Hololens 2 camera, which triggers holographic overlays or interactions related to the recognized objects.…”
Section: Target Creationmentioning
confidence: 99%