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What is Mobile Augemented Reality?
What is Mobile Augemented Reality?
Mobile augmented reality is a rising trend and is easily accessible since most people can use these mobile devices anywhere and anytime. According to Craig (2013), mobile devices are different from portable devices, emphasizing that they should be easy to carry daily without extra work. The author describes the most suitable mobile augmented reality as smartphones or tablets, rather than PCs, e-book readers, or head-mounted displays.
(Patel, 2023)
There are two main types of AR: Marker-based AR and Markerless AR. Marker-based AR is a type of augmented reality that uses recognition to identify and track markers in the real world with additional digital data (Romli et al., 2020). These marks can include different images, such as a QR code, which will be replaced with a virtual object. Markerless AR is slightly more complicated since it is independent of identifying markers but rather on the natural characteristics of an environment. Markerless AR can be divided into location-based, projection-based, contour-based, and overlay.
(Carter & Egliston, 2020 )
Location-Based AR
Location-Based AR
Utilizes geographical location to provide context-relevant information and mainly relies on techniques such as GPS to define the place and position (Romli et al., 2020). One popular example that uses location-based AR is a mobile game, Pokemon-Go.
(Patel, 2023)
Projection-Based AR
Projection-Based AR
Displays virtual images, animation, or any other content on the physical surface of a natural object. It may include sensors allowing users to interact with the projection (Laibah, 2023).
(Strapagiel, 2022)
Overlay AR
Overlay AR
Is when visual images are when unaugmented images are replaced with multiple visual enhancements (Nextech, 2022). These types of AR are often used by interior designers or customers who would want to imagine what products may look like in their houses.
(Ma, 2017)
Contour-based AR
Contour-based AR
Uses outlines or silhouettes of objects which are often used for navigation systems, like helping drivers more safely navigate in low light conditions (iEnhance, 2022).
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