Friday, 10 July, 2020 UTC
Summary
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AR 101 — Augmented Reality Trends (Part 2)
The development of Augmented Reality systems can be divided into two trends: Trend horizontal or AR applications, and trend vertical or AR techniques.
Augmented Reality — Trends (Ling, 2017) by fernanda rodríguezIn this article, you will find:
- Trend horizontal or AR Applications, and
- Trend vertical or AR Techniques.
Horizontal — AR Applications
The trend horizontal covers the development of applications for Augmented Reality (Ling, 2017).
Ten of the best uses cases for AR technology:
- Medical training
- Retail
- Repair & maintenance
- Design & modeling
- Business Logistics
- Tourism industry
- Classroom education
- Field Service
- Entertainment properties
- Public Safety
- 10 Real Use Cases for Augmented Reality
- 8 Examples of Augmented Reality Apps and their Successful Uses - NewGenApps
Vertical — AR Techniques
The trend vertical covers the exploration of different techniques for Augmented Reality (Ling, 2017).
Some techniques, such as:
- Calculate the geometric relationship: real and virtual objects must be correctly aligned.
- Calculate continuous position: tracking techniques.
Tracking Techniques
The tracking techniques can be divided into sensor-based tracking, vision-based tracking, and hybrid tracking (Roberto, 2016)(Chatzopoulos, 2017).
Trending AR VR Articles:
1. How to use subtle AR filters to survive your Zoom meetings?
2. The First No-Headset Virtual Monitor
3. Augmented reality (AR) is the future of Restaurant Menu?
4.Creating remote MR productions
Sensor-based tracking
Sensor-based tracking techniques calculate the user’s or device’s position relative to the real-world using exclusively available sensors.
Among the primary sensors that can be used for tracking are inertial, magnetic, and other sensors, not including optical sensors like cameras.
Vision-based tracking
Vision-based tracking techniques calculate the user’s or device’s position relative to the real-world using images captured by the camera.
According to the available environment features, these can be classified into marker-based and markerless-based techniques.
Marker-based techniques: This technique use references or markers as artificial features to calculate the camera pose.
Some visual markers used for tracking in Augmented Reality (Chatzopoulos, 2017).Markerless-based techniques: This technique uses the features of the physical object to calculate the camera pose. This technique can be divided into static model or model-based tracking, and dynamic model or feature-based tracking.
- Static model: This model uses prior knowledge of the scene that does not change during tracking to compute the device’s pose, such as CAD models.
- Dynamic model: This model does not need prior knowledge of the environment. It can build the environment model entirely from scratch with SLAM (Simultaneous Localization and Mapping).
SLAM, Core technology of AR, What is it?
Hybrid tracking
The hybrid technique combines sensor-based and vision-based methods.
For those looking for all the articles in our AR 101 series. Here is the link.
AR 101 — Augmented Reality
References
- H. Ling, “Augmented Reality in Reality” in IEEE MultiMedia, vol. 24, no. 03, pp. 10–15, 2017.
- Roberto R., Lima J.P., Teichrieb V. Tracking for mobile devices: A systematic mapping study. Computers and Graphics (Pergamon), 56 , pp. 20–30. 2016.
- D. Chatzopoulos, C. Bermejo, Z. Huang and P. Hui, “Mobile Augmented Reality Survey: From Where We Are to Where We Go,” in IEEE Access, vol. 5, pp. 6917–6950, 2017.
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https://medium.com/media/1e1f2ee7654748bb938735cbca6f0fd3/hrefAR 101 — Augmented Reality Trends (Part 2) was originally published in AR/VR Journey: Augmented & Virtual Reality Magazine on Medium, where people are continuing the conversation by highlighting and responding to this story.