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Technologies for augmented and virtual reality

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Extended reality technologies, encapsulating augmented reality (AR), virtual reality (VR),and mixed reality (any blend of VR and AR) use digital information either overlaid onto elements from the physical world or to create a complete virtual immersive environment.  Extended reality harnesses human vision, and often other sensory systems to create enhanced or completely new experiences and perceptions.  Extended reality has gained rapid interest through its use in gaming.  However there are numerous exciting practical applications of these technologies beyond entertainment, including telepresence to enable remote robotic control in harsh environments, testing of autonomous driving platforms, and data visualization during surgery.  This collection of papers aims to bring together diverse fields of research to advance extended reality technologies and their applications. 

Areas of research include:

  • Sensing: remote sensing, wearable sensors, distance and depth sensing, eye tracking,
  • Wearable devices: headsets and glasses, haptic interfaces, skin electronics and actuators
  • Optics, imaging and display technologies:  mobile, wearable and portable displays, holography, diffractive optical elements, metasurfaces, metalenses, 3D reconstruction
  • Artificial intelligence, computational cognition, computational imaging, computational optics, neural rendering, inverse rendering, diffusion models
  • Engineering applications, including (but not exclusively): transport, medicine and healthcare, manufacturing and robotics
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Industrial Factory Chief Engineer Wearing AR Headset Designs a Prototype of an Electric Car Chassis on the Holographic Projection Blueprint. Futuristic Virtual Design of Mixed Technology Application.

Editors

Xinge Yu, PhD, City University of Hong Kong, Hong Kong, China
Xinge Yu is currently an Associate Professor of Biomedical Engineering at City University of Hong Kong (CityU), Member of the Hong Kong Young Academy of Sciences, and Associate Director of Hong Kong Centre for Cerebro-cardiovascular Health Engineering. Dr Yu is the recipient of RGC Research Fellow, Innovators under 35 China (MIT Technology Review), NSFC Excellent Young Scientist Grant (Hong Kong & Macao), New Innovator of IEEE NanoMed, MINE Young Scientist Award, Gold Medal in the Inventions Geneva, CityU Outstanding Research Award, Stanford's top 2% most highly cited scientists etc. Xinge Yu’s research group is focusing on skin-integrated electronics and systems for VR and biomedical applications. He has published 160 papers in Nature, Nature Materials, Nature Biomedical Engineering, Nature Machine Intelligence, Nature Communications, Science Advances etc..

Zhengxia Zou, PhD,  Beihang University, China
Zhengxia Zou received his B.S. and Ph.D. degrees from the School of Astronautics, Beihang University, Beijing, China, in 2013 and 2018, respectively. From 2018 to 2021, he was a Post-Doctoral Research Fellow with the University of Michigan, Ann Arbor, MI, USA. He is currently a Professor at the School of Astronautics, Beihang University. Dr. Zou has published more than 40 peer-reviewed papers in top-tier journals and conferences, including Nature, Nature Communications, Proceedings of the IEEE, IEEE Transactions on Image Processing, Conference on IEEE/CVF Computer Vision and Pattern Recognition, IEEE International Conference on Computer Vision, etc. His research interests include computer vision, deep learning, AR/VR, and related problems in remote sensing, autonomous driving, and video games.

Praneeth Chakravarthula, PhD, University of North Carolina at Chapel Hill, USA
Praneeth Chakravarthula is an Assistant Professor of Computer Science and, by courtesy, of Applied Physical Sciences at the University of North Carolina at Chapel Hill. His research interests lie at the intersection of computational optics, computer vision and graphics, applied perception, and artificial intelligence. Prof. Chakravarthula is a Senior Member of Optica and a recipient of several best paper awards at premier conferences such as ACM SIGGRAPH, IEEE VR and ISMAR, and an IEEE VR Best Dissertation Award.