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Keil, Jens; Schmitt, Florian; Engelke, Timo; Graf, Holger; Olbrich, Manuel

Augmented Reality Views: Discussing the Utility of Visual Elements by Mediation Means in Industrial AR from a Design Perspective


Virtual Augmented and Mixed Reality: Applications in Health, Cultural Heritage, and Industry

International Conference Virtual Augmented and Mixed Reality (VAMR) <10, 2018, Las Vegas, NV, USA>

Lecture Notes in Computer Science (LNCS), 10910

In this paper we present and discuss common visual elements in Augmented Reality which create a distinct information context while presenting them in either video- or optical-see-though setups, and which align with the promise of AR being able to bridge the gap between real world objects and the digital information space about them. Reflecting on nowadays common elements with these premises in mind, we collected and categorized a variety of visual elements, e.g. annotation & labels, visual highlights, assisting visual aids and trans-media elements. Focusing on industrial AR applications, we discuss their suitability in terms of mediation and communication goals, instead of technological and implementation considerations. In doing so, we seek to identify the currently most relevant visual elements and discuss the deployed meaning that can be created in utilizing these elements for a informed and successful communication. From there we introduce a first framing meta-model that on the one hand helps clarifying the mediation strength of these elements and on the other enables to reflect their suitability on a more strategic level.


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Wuest, Harald; Engelke, Timo; Wientapper, Folker; Schmitt, Florian; Keil, Jens

From CAD to 3D Tracking - Enhancing & Scaling Model-Based Tracking for Industrial Appliances


Adjunct Proceedings of the 2016 IEEE International Symposium on Mixed and Augmented Reality

IEEE International Symposium on Mixed and Augmented Reality (ISMAR) <15, 2016, Merida, Mexico>

For Augmented Reality to succeed in industrial appliances, industries demand not only robust and reliable tracking techniques, but also a scalable and performant pipeline, that is easy-to-integrate within the existing data- and content environment and that enables vendors to create tracking solutions on their own. In our demo, we present recent advances of our model tracking pipeline and tracking technology, which on the one hand is easy use and easy to integrate, while on the other hand robust enough during difficult environmental conditions and which delivers high accuracy for the industrial domain. We showcase our results inside an AR-manual scenario.