Next Generation Augmented Reality Displays

Hedili, M. Kivanc; Ulusoy, Erdem; Kazempour, Sevedmahdi; Soomro, Shoaib R.; Ürey, Hakan

doi:10.1109/icsens.2018.8589942

Cited by 6 publications

(4 citation statements)

References 9 publications

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Section: Optimisation and Application Of Ar Systems With Different Di...mentioning

confidence: 99%

“…However, due to the system's low light intensity, the surgical lights must be dimmed during the procedure, making the system challenging to apply in actual surgery. Hedili et al 134 proposed combining a MEMS scanner with red, green, and blue lasers to form the basis of a miniature colour projector. This system allows the eye to integrate the scanned pixels due to the very fast scanning rate, allowing the physician to see a continuous image.…”

Section: Optimisation Of Projection-based Ar System For Improved User...mentioning

confidence: 99%

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User's image perception improved strategy and application of augmented reality systems in smart medical care: A review

Jiang

Zhang

Sun

et al. 2023

Robotics Computer Surgery

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Background: Augmented reality (AR) is a new human-computer interaction technology that combines virtual reality, computer vision, and computer networks. With the rapid advancement of the medical field towards intelligence and data visualisation, AR systems are becoming increasingly popular in the medical field because they can provide doctors with clear enough medical images and accurate image navigation in practical applications. However, it has been discovered that different display types of AR systems have different effects on doctors' perception of the image after virtual-real fusion during the actual medical application. If doctors cannot correctly perceive the image, they may be unable to correctly match the virtual information with the real world, which will have a significant impact on their ability to recognise complex structures. Methods: This paper uses Citespace, a literature analysis tool, to visualise and analyse the research hotspots when AR systems are used in the medical field. Results: A visual analysis of the 1163 articles retrieved from the Web of Science Core Collection database reveals that display technology and visualisation technology are the key research directions of AR systems at the moment. Conclusion: This paper categorises AR systems based on their display principles, reviews current image perception optimisation schemes for various types of systems, and analyses and compares different display types of AR systems based on their practical applications in the field of smart medical care so that doctors can select the appropriate display types based on different application scenarios.

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Section: Optimisation and Application Of Ar Systems With Different Di...mentioning

confidence: 99%

Section: Optimisation Of Projection-based Ar System For Improved User...mentioning

confidence: 99%

User's image perception improved strategy and application of augmented reality systems in smart medical care: A review

Jiang

Zhang

Sun

et al. 2023

Robotics Computer Surgery

View full text Add to dashboard Cite

show abstract

“…Smartphones are the most commonly used devices for displaying augmented content. However, smart glasses, such as Moverio [42] or Google Glass [43], are gaining ground [44]. For a seamless integration of the multimedia content within the real environment, the position and orientation of the display device must be estimated with high accuracy.…”

Section: Augmented Realitymentioning

confidence: 99%

A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision

Morar

Moldoveanu

Mocanu

et al. 2020

Sensors

122

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Computer vision based indoor localization methods use either an infrastructure of static cameras to track mobile entities (e.g., people, robots) or cameras attached to the mobile entities. Methods in the first category employ object tracking, while the others map images from mobile cameras with images acquired during a configuration stage or extracted from 3D reconstructed models of the space. This paper offers an overview of the computer vision based indoor localization domain, presenting application areas, commercial tools, existing benchmarks, and other reviews. It provides a survey of indoor localization research solutions, proposing a new classification based on the configuration stage (use of known environment data), sensing devices, type of detected elements, and localization method. It groups 70 of the most recent and relevant image based indoor localization methods according to the proposed classification and discusses their advantages and drawbacks. It highlights localization methods that also offer orientation information, as this is required by an increasing number of applications of indoor localization (e.g., augmented reality).

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“…Due to their pervasiveness and their capacity to display 3D content, smartphones have become very popular tools for augmented reality applications. Although other devices such as smart glasses are emerging [ 1 ], their price range and user interaction features still represent impediments to mass adoption. The AR domain has grown in popularity, as evidenced by the large number of AR platforms that offer a seamless integration of augmented content into the physical world.…”

Section: Introductionmentioning

confidence: 99%

CultReal—A Rapid Development Platform for AR Cultural Spaces, with Fused Localization

Morar

Băluțoiu

Moldoveanu

et al. 2021

Sensors

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Virtual and augmented reality technologies have known an impressive market evolution due to their potential to provide immersive experiences. However, they still have significant difficulties to enable fully fledged, consumer-ready applications that can handle complex tasks such as multi-user collaboration or time-persistent experiences. In this context, CultReal is a rapid creation and deployment platform for augmented reality (AR), aiming to revitalize cultural spaces. The platform’s content management system stores a representation of the environment, together with a database of multimedia objects that can be associated with a location. The localization component fuses data from beacons and from video cameras, providing an accurate estimation of the position and orientation of the visitor’s smartphone. A mobile application running the localization component displays the augmented content, which is seamlessly integrated with the real world. The paper focuses on the series of steps required to compute the position and orientation of the user’s mobile device, providing a comprehensive evaluation with both virtual and real data. Pilot implementations of the system are also described in the paper, revealing the potential of the platform to enable rapid deployment in new cultural spaces. Offering these functionalities, CultReal will allow for the fast development of AR solutions in any location.

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Next Generation Augmented Reality Displays

Cited by 6 publications

References 9 publications

User's image perception improved strategy and application of augmented reality systems in smart medical care: A review

User's image perception improved strategy and application of augmented reality systems in smart medical care: A review

A Comprehensive Survey of Indoor Localization Methods Based on Computer Vision

CultReal—A Rapid Development Platform for AR Cultural Spaces, with Fused Localization

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