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Edge-assisted collaborative image recognition for augmented reality: Demo abstract

Publication ,  Conference
Stojkovic, J; Liu, Z; Lan, G; Joe-Wong, C; Gorlatova, M
Published in: SenSys 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems
November 10, 2019

Mobile Augmented Reality (AR), which overlays digital information with real-world scenes surrounding a user, provides an enhanced mode of interaction with the ambient world. Contextual AR applications rely on image recognition to identify objects in the view of the mobile device. In practice, due to image distortions and device resource constraints, achieving high performance image recognition for AR is challenging. Recent advances in edge computing offer opportunities for designing collaborative image recognition frameworks for AR. In this demonstration, we present CollabAR, an edge-assisted collaborative image recognition framework. CollabAR allows AR devices that are facing the same scene to collaborate on the recognition task. Demo participants develop an intuition for different image distortions and their impact on image recognition accuracy. We showcase how heterogeneous images taken by different users can be aggregated to improve recognition accuracy and provide a better user experience in AR.

Duke Scholars

Published In

SenSys 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems

DOI

Publication Date

November 10, 2019

Start / End Page

394 / 395
 

Citation

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Stojkovic, J., Liu, Z., Lan, G., Joe-Wong, C., & Gorlatova, M. (2019). Edge-assisted collaborative image recognition for augmented reality: Demo abstract. In SenSys 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems (pp. 394–395). https://doi.org/10.1145/3356250.3361944
Stojkovic, J., Z. Liu, G. Lan, C. Joe-Wong, and M. Gorlatova. “Edge-assisted collaborative image recognition for augmented reality: Demo abstract.” In SenSys 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 394–95, 2019. https://doi.org/10.1145/3356250.3361944.
Stojkovic J, Liu Z, Lan G, Joe-Wong C, Gorlatova M. Edge-assisted collaborative image recognition for augmented reality: Demo abstract. In: SenSys 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems. 2019. p. 394–5.
Stojkovic, J., et al. “Edge-assisted collaborative image recognition for augmented reality: Demo abstract.” SenSys 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems, 2019, pp. 394–95. Scopus, doi:10.1145/3356250.3361944.
Stojkovic J, Liu Z, Lan G, Joe-Wong C, Gorlatova M. Edge-assisted collaborative image recognition for augmented reality: Demo abstract. SenSys 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems. 2019. p. 394–395.

Published In

SenSys 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems

DOI

Publication Date

November 10, 2019

Start / End Page

394 / 395