Augmented reality

About: Augmented reality is a research topic. Over the lifetime, 36039 publications have been published within this topic receiving 479617 citations. The topic is also known as: AR.

Energy-Efficient Resource Allocation for Mobile Edge Computing-Based Augmented Reality Applications

Abstract: Mobile edge computing is a provisioning solution to enable augmented reality (AR) applications on mobile devices. AR mobile applications have inherent collaborative properties in terms of data collection in the uplink, computing at the edge, and data delivery in the downlink. In this letter, these features are leveraged to propose a novel resource allocation approach over both communication and computation resources. The approach, implemented via successive convex approximation, is seen to yield considerable gains in mobile energy consumption as compared to conventional independent offloading across users.

Face to Face Collaborative AR on Mobile Phones

Abstract: Mobile phones are an ideal platform for augmented reality. In this paper we describe how they also can be used to support face to face collaborative AR applications. We have created a custom port of the ARToolKit library to the Symbian mobile phone operating system and then developed a sample collaborative AR game based on this. We describe the game in detail and user feedback from people who have played it. We also provide general design guidelines that could be useful for others who are developing mobile phone collaborative AR applications.

Augmented reality assisted shopping

Abstract: Facilitating shopping for a tangible object via a network using a mobile device involves obtaining a graphical representation of a scene of a local environment using a sensor of the mobile device. Graphical object data that enables a three-dimensional representation of the tangible object to be rendered on the mobile device is obtained via the network, in response to a shopping selection. The three-dimensional representation of the tangible object is displayed with the graphical representation of the scene via the mobile device so that the appearance of the tangible object in the scene is simulated.

Tactics-based remote execution for mobile computing

Abstract: Remote execution can transform the puniest mobile device into a computing giant able to run resource-intensive applications such as natural language translation, speech recognition, face recognition, and augmented reality. However, easily partitioning these applications for remote execution while retaining application-specific information has proven to be a difficult challenge. In this paper, we show that automated dynamic repartitioning of mobile applications can be reconciled with the need to exploit application-specific knowledge. We show that the useful knowledge about an application relevant to remote execution can be captured in a compact declarative form called tactics. Tactics capture the full range of meaningful partitions of an application and are very small relative to code size. We present the design of a tactics-based remote execution system, Chroma, that performs comparably to a runtime system that makes perfect partitioning decisions. Furthermore, we show that Chroma can automatically use extra resources in an over-provisioned environment to improve application performance.

Application of D4AR – A 4-Dimensional augmented reality model for automating construction progress monitoring data collection, processing and communication

Abstract: Early detection of actual or potential schedule delay in field construction activities is vital to project management This entails project managers to design, implement, and maintain a systematic approach for construction progress monitoring to promptly identify, process and communicate discrepancies between actual and as-planned performances To achieve this goal, this research focuses on exploring application of unsorted daily progress photograph logs available on any construction site as a data collection technique Our approach is based on computing- from the images themselves- the photographer’s locations and orientations, along with a sparse 3D geometric representation of the as-built site using daily progress photographs and superimposition of the reconstructed scene over as-planned 4D models Within such an environment, progress photographs are registered in the virtual as-planned environment and this allows a large unstructured collection of daily construction images to be sorted, interactively browsed and explored In addition, sparse reconstructed scenes superimposed over 4D models allow site images to be geo-registered with the as-planned components and consequently, location-based image processing technique to be implemented and progress data to be extracted automatically The results of progress comparison between as-planned and as-built performances are visualized in the D4AR (4D Augmented Reality) environment using a traffic light metaphor We present our preliminary results on three ongoing construction projects and discuss implementation, perceived benefits and future potential enhancement of this new technology in construction, in all fronts of automatic data collection, processing and communication