Calibration method of visual parameters for see-through head-mounted display

Author(s):  
T. Oishi ◽  
S. Tachi
Author(s):  
Tung-Jui Chuang ◽  
Chih-Kai Yang ◽  
Shana Smith

Abstract This study created an AR-based training system for manual milling machine operation. Users can operate a full-size virtual milling machine with their natural operating behavior, without additional worn or handheld devices. An Intel RealSense R200 camera was used to get the images and the depth information of the real world scenes. A Leap Motion controller was used to track user’s hand motion. Both Intel RealSense R200 and Leap Motion were mounted on an Oculus Rift head-mounted display so that users can freely walk around in the augmented environment to operate the virtual milling machine. A calibration method was developed to solve the dynamic occlusion problem in real time to increase the realism and immersiveness of the system. The system provided a safe learning-by-doing training environment, which was expected to enhance users’ learning effect and reduce accidents. User test results showed that the system was robust and helpful in improving user learning experience in manual milling machining operation.


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.


2008 ◽  
Author(s):  
Harry Litaker ◽  
Shelby Thompson ◽  
Ronald Archer

2006 ◽  
Author(s):  
Pedro Gamito ◽  
Diogo Morais ◽  
Jorge Oliveira ◽  
Marisa Anastacio
Keyword(s):  

2012 ◽  
Vol 60 (S 01) ◽  
Author(s):  
M Arsalan ◽  
A Van Linden ◽  
M Tackenberg ◽  
J Blumenstein ◽  
T Ziegelhöffer ◽  
...  

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