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Optical see-though head-mounted displays (OST HMDs) are one of the key technologies for merging virtual objects and physical scenes to provide an immersive mixed reality (MR) environment to its user. A fundamental limitation of HMDs is,…

人机交互 · 计算机科学 2020-07-07 Mathias Unberath , Kevin Yu , Roghayeh Barmaki , Alex Johnson , Nassir Navab

Most commercially available optical see-through head-mounted displays (OST-HMDs) utilize optical combiners to simultaneously visualize the physical background and virtual objects. The displayed images perceived by users are a blend of…

图形学 · 计算机科学 2021-01-11 Yunjin Zhang , Rui Wang , Yifan , Peng , Wei Hua , Hujun Bao

We provide an experimental evaluation of a wearable augmented reality (AR) system we have developed for human-robot teams working on tasks requiring collaboration in shared physical workspace. Recent advances in AR technology have…

In the complex manufacturing sector a considerable amount of resources are focused on developing new skills and training workers. In that context, increasing the effectiveness of those processes and reducing the investment required is an…

This article presents a systematic review of optical see-through head mounted display (OST-HMD) usage in augmented reality (AR) surgery applications from 2013 to 2020. Articles were categorised by: OST-HMD device, surgical speciality,…

人机交互 · 计算机科学 2022-02-10 Manuel Birlo , P. J. "Eddie'' Edwards , Matthew Clarkson , Danail Stoyanov

Image-based scene understanding allows Augmented Reality systems to provide contextual visual guidance in unprepared, real-world environments. While effective on video see-through (VST) head-mounted displays (HMDs), such methods suffer on…

人机交互 · 计算机科学 2025-09-16 Gerlinde Emsenhuber , Tobias Langlotz , Denis Kalkofen , Markus Tatzgern

In this work we propose the combination of large interactive displays with personal head-mounted Augmented Reality (AR) for information visualization to facilitate data exploration and analysis. Even though large displays provide more…

人机交互 · 计算机科学 2020-10-20 Patrick Reipschläger , Tamara Flemisch , Raimund Dachselt

Optical see-through head-mounted displays (OST HMDs) are a major output medium for Augmented Reality, which have seen significant growth in popularity and usage among the general public due to the growing release of consumer-oriented…

人机交互 · 计算机科学 2017-10-02 Jens Grubert , Yuta Itoh , Kenneth Moser , J. Edward Swan

As a result of an increasingly automatized and digitized industry, processes are becoming more complex. Augmented Reality has shown considerable potential in assisting workers with complex tasks by enhancing user understanding and…

人机交互 · 计算机科学 2020-09-01 Linh Kästner , Leon Eversberg , Marina Mursa , Jens Lambrecht

Augmented Reality (AR) solutions are providing tools that could improve applications in the medical and industrial fields. Augmentation can provide additional information in training, visualization, and work scenarios, to increase…

人机交互 · 计算机科学 2023-06-30 Akos Nagy , Thomas Lagkas , Panagiotis Sarigiannidis , Vasileios Argyriou

This work introduces a novel Augmented Reality (AR) approach to visualize material data alongside real objects in order to facilitate detailed material analyses based on spatial non-destructive testing (NDT) data as generated in X-ray…

人机交互 · 计算机科学 2024-04-22 Alexander Gall , Anja Heim , Patrick Weinberger , Bernhard Fröhler , Johann Kastner , Christoph Heinzl

Optical see-through head-mounted displays (OST HMDs) are a popular output medium for mobile Augmented Reality (AR) applications. To date, they lack efficient text entry techniques. Smartphones are a major text entry medium in mobile…

人机交互 · 计算机科学 2023-09-11 Jens Grubert , Lukas Witzani , Alexander Otte , Travis Gesslein , Matthias Kranz , Per Ola Kristensson

Optical see-through head-mounted displays (OST HMDs) typically display virtual content at a fixed focal distance while users need to integrate this information with real-world information at different depth layers. This problem is…

人机交互 · 计算机科学 2019-09-09 Anna Eiberger , Per Ola Kristensson , Susanne Mayr , Matthias Kranz , Jens Grubert

Advancements in sensor technology, artificial intelligence (AI), and augmented reality (AR) have unlocked opportunities across various domains. AR and large language models like GPT have witnessed substantial progress and are increasingly…

人机交互 · 计算机科学 2023-07-10 Fang Xu , Tri Nguyen , Jing Du

Robots are now increasingly integrated into various real world applications and domains. In these new domains, robots are mostly employed to improve, in some ways, the work done by humans. So, the need for effective Human-Robot Teaming…

机器人学 · 计算机科学 2024-08-26 Yousra Shleibik , Elijah Alabi , Christopher Reardon

Optical see-through augmented reality (OST-AR) overlays digital targets and annotations on the physical world, offering promising guidance for hands-on tasks such as medical needle insertion or assembly. Recent work on OST-AR depth…

图形学 · 计算机科学 2025-10-03 Hu Guo , Lily Patel , Rohan Gupt

The field of Augmented Reality (AR) based Human Robot Interaction (HRI) has progressed significantly since its inception more than two decades ago. With more advanced devices, particularly head-mounted displays (HMD), freely available…

机器人学 · 计算机科学 2019-10-11 David Puljiz , Björn Hein

Assisted Reality (aR) is a subfield of Augmented Reality (AR) that overlays information onto a user's immediate view via see-through head-mounted displays (OST-HMDs). This technology has proven to be effective and energy-efficient to…

Robot-assisted minimally invasive surgery has shown to improve patient outcomes, as well as reduce complications and recovery time for several clinical applications. While increasingly configurable robotic arms can maximize reach and avoid…

With the increasing computational power of today's workstations, real-time physically-based rendering is within reach, rapidly gaining attention across a variety of domains. These have expeditiously applied to medicine, where it is a…

计算机视觉与模式识别 · 计算机科学 2019-08-19 Laura Fink , Sing Chun Lee , Jie Ying Wu , Xingtong Liu , Tianyu Song , Yordanka Stoyanova , Marc Stamminger , Nassir Navab , Mathias Unberath
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