Augmented Reality--Implications toward Virtual Reality, Human Perception and Performance

2012 ◽  
Author(s):  
R. A. Grier ◽  
H. Thiruvengada ◽  
S. R. Ellis ◽  
P. Havig ◽  
K. S. Hale ◽  
...  
Author(s):  
R.A. Grier ◽  
H. Thiruvengada ◽  
S.R. Ellis ◽  
P. Havig ◽  
K.S. Hale ◽  
...  

Author(s):  
Neil T. Banerjee ◽  
Alex Baughman ◽  
Shu-Yu Lin ◽  
Zoe Witte ◽  
David M. Klaus ◽  
...  

Author(s):  
Yuzhu Lu ◽  
Shana Smith

In this paper, we present a prototype system, which uses CAVE-based virtual reality to enhance immersion in an augmented reality environment. The system integrates virtual objects into a real scene captured by a set of stereo remote cameras. We also present a graphic processing unit (GPU)-based method for computing occlusion between real and virtual objects in real time. The method uses information from the captured stereo images to determine depth of objects in the real scene. Results and performance comparisons show that the GPU-based method is much faster than prior CPU-based methods.


eLight ◽  
2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Jianghao Xiong ◽  
Shin-Tson Wu

AbstractPlanar and ultrathin liquid crystal (LC) polarization optical elements have found promising applications in augmented reality (AR), virtual reality (VR), and photonic devices. In this paper, we give a comprehensive review on the operation principles, device fabrication, and performance of these optical elements. Optical simulations methods for optimizing the device performance are discussed in detail. Finally, some potential applications of these devices in AR and VR systems are illustrated and analyzed.


Author(s):  
Yuzhu Lu ◽  
Shana Smith

In this paper, we present a prototype system which makes use of the characterisitcs of CAVE-based virtual reality to enhance immersion in an augmented-reality environment. The system integrates virtual objects into a real scene captured by a set of stereo remote cameras. We also developed a GPU-based method for computing occlusion between real and virtual objects, in real time. The method uses information from the captured stereo images to determine depth of objects in the real scene. Results and performance comparisons show that the GPU-based method is much faster than prior CPU-based methods.


2019 ◽  
Vol 16 (2) ◽  
pp. 22-31
Author(s):  
Christian Zabel ◽  
Gernot Heisenberg

Getrieben durch populäre Produkte und Anwendungen wie Oculus Rift, Pokémon Go oder der Samsung Gear stößt Virtual Reality, Augmented Reality und auch Mixed Reality auf zunehmend großes Interesse. Obwohl die zugrunde liegenden Technologien bereits seit den 1990er Jahren eingesetzt werden, ist eine breitere Adoption erst seit relativ kurzer Zeit zu beobachten. In der Folge ist ein sich schnell entwickelndes Ökosystem für VR und AR entstanden (Berg & Vance, 2017). Aus einer (medien-) politischen Perspektive interessiert dabei, welche Standortfaktoren die Ansiedlung und Agglomeration dieser Firmen begünstigen. Da die Wertschöpfungsaktivitäten sowohl hinsichtlich der Zielmärkte als auch der Leistungserstellung (z. B. starker Einsatz von IT und Hardware in der Produkterstellung) von denen klassischer Medienprodukte deutlich abweichen, kann insbesondere gefragt werden, ob die VR-, MR- und AR-Unternehmen mit Blick auf die Ansiedlungspolitik als Teil der Medienbranche aufzufassen sind und somit auf die für Medienunternehmen besonders relevanten Faktoren in ähnlichem Maße reagieren. Der vorliegende Aufsatz ist das Ergebnis eines Forschungsprojekts im Auftrag des Mediennetzwerks NRW, einer Tochterfirma der Film- und Medienstiftung NRW.


Author(s):  
Richard Stone ◽  
Minglu Wang ◽  
Thomas Schnieders ◽  
Esraa Abdelall

Human-robotic interaction system are increasingly becoming integrated into industrial, commercial and emergency service agencies. It is critical that human operators understand and trust automation when these systems support and even make important decisions. The following study focused on human-in-loop telerobotic system performing a reconnaissance operation. Twenty-four subjects were divided into groups based on level of automation (Low-Level Automation (LLA), and High-Level Automation (HLA)). Results indicated a significant difference between low and high word level of control in hit rate when permanent error occurred. In the LLA group, the type of error had a significant effect on the hit rate. In general, the high level of automation was better than the low level of automation, especially if it was more reliable, suggesting that subjects in the HLA group could rely on the automatic implementation to perform the task more effectively and more accurately.


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