Advanced Scene Perception for Augmented Reality

Dear Colleagues,

Augmented Reality (AR), combining virtual elements with the real world, has shown impressive results in a variety of application fields and has gained significant attention in recent years due to its limitless potential. AR applications rely heavily on the quality and extent of understanding of the user’s surroundings as well as the dynamic monitoring of the user’s interactions with his environment. While traditional AR relied on the precise localization of the user, nowadays a deeper scene perception at multiple levels is expected, ranging from dense environment reconstruction and semantic understanding to hand–object interaction and action recognition. An advanced, efficient understanding of surroundings enables AR applications that support full interaction between real and virtual elements and are able to monitor and support users reliably in real-world complex tasks such as industrial maintenance or medical procedures.

In this Special Issue, we aim to feature novel research that advances the state-of-the-art in scene perception for AR contributing to topics including semantic SLAM, object pose estimation and tracking, dynamic scene analysis, 3D environmental sensing and sensor fusion, hand tracking and hand–object interaction, illumination reconstruction. Comprehensive state-of-the-art reviews on relevant topics and innovative AR applications taking advantage of recent scene perception developments are also highly welcome.

Prof. Dr. Didier Stricker
Dr. Jason Rambach
Guest Editors

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