Visualization Techniques for Augmented Reality

2011 ◽  
pp. 65-98 ◽  
Author(s):  
Denis Kalkofen ◽  
Christian Sandor ◽  
Sean White ◽  
Dieter Schmalstieg
2015 ◽  
Vol 35 (1) ◽  
pp. 179-190
Author(s):  
Tomasz Wójcicki

Abstract This paper presents a methodology developed to support the tests of reliability of complex technical objects. The presented methodology covers the use of modern information technologies in the form of algorithmic models and effective visualization techniques in the form of augmented reality. The possibility of using a probabilistic Bayesian network. The method of determining the probabilities for specific nodes, and the total probability distribution of graph structures are presented. The structure of the model and its basic functions are shown. The results of the verification work for connecting data processing methods and visualization techniques based on augmented reality are presented.


2020 ◽  
Vol 25 ◽  
pp. 308-324
Author(s):  
Amr S. Fenais ◽  
Samuel T. Ariaratnam ◽  
Steven K. Ayer ◽  
Nikolas Smilovsky

Unintentional striking of underground utilities from construction activities often results in high economic consequences. Advanced technology and sophisticated visualization techniques such as augmented reality (AR) has the potential to play a significant role in mitigating such devastating consequences. To better understand the state-of-the-art technology of AR applications in the underground construction industry, it is important to identify challenges and barriers. This paper provides a systematic literature review of applications in the construction industry in general in which journal articles were reviewed, analysed, and summarized. Through this method, the main challenges associated with AR were revealed and feasible solutions were suggested. Issues were found with 1) data collection; 2) modelling and alignment barriers; 3) hardware limitations; 4) tracking; and 5) managing data. This research examined an efficient solution to the problems of AR by proposing a framework for future implementation with main applications in the United States, Canada, and Australia.


Author(s):  
Stefanie Zollmann ◽  
Raphael Grasset ◽  
Tobias Langlotz ◽  
Wei Hong Lo ◽  
Shohei Mori ◽  
...  

2021 ◽  
Vol 23 (2) ◽  
Author(s):  
Marcin Majak ◽  
Magdalena Żuk ◽  
Ewelina Świątek-Najwer ◽  
Michał Popek ◽  
Piotr Pietruski

Purpose: The purpose of this study was to develop and verify an intraoperative module for supporting navigated biopsy procedures using optical see-through head-mounted display (HMD). Methods: Biopsy procedure including entry and endpoints of needle insertion was planned preoperatively having regard to the resection region segmentation and safety margin definition. Biopsy procedures were performed by two users using an intraoperative optical navigation module on a specially prepared brain phantom. Two visualization techniques were compared: an accurate augmented reality one, where a virtual plan is superimposed onto surgical field by using optical see-through HMD together with personalized calibration method and visualization on the external display. Results: Averaged errors from 24 trials using external display were 2.04 ± 0.83 mm for the first user and 2.69 ± 1.11 mm for the second one, while applying HMD 2.50 ± 0.93 mm (the first user) and 2.17 ± 0.82 mm (the second user), respectively. Conclusions: Proper usage of HMD visualization preceded by the personalized calibration allows the user to perform navigated biopsy procedure with comparable accuracy to its equivalent with the external display. Additionally, augmented reality visualization improves ergonomics and enables focusing on the surgical field without losing a direct line of sight with the field of view as it happens for external displays. However, ensuring high accuracy of augmented reality visualization still requires proper calibration and some user experience, which is challenging.


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