scholarly journals A markerless augmented reality system for mobile devices

2021 ◽  
Author(s):  
Alex Ufkes
Keyword(s):  
Augmented Reality ◽  
Mobile Devices ◽  
Hybrid Algorithm ◽  
Feature Matching ◽  
Fiducial Markers ◽  
Textured Surfaces ◽  
Augmented Reality System ◽  
Camera View ◽  
Wide Range ◽  
World Environment

Augmented Reality (AR) combines a live camera view of a real world environment with computer-generated virtual content. Alignment of these viewpoints is done by recognizing artificial fiducial markers, or, more recently, natural features already present in the environment. This is known as Marker-based and Markerless AR respectively. We present a markerless AR system that is not limited to artificial markers, but is capable of rendering augmentations over user-selected textured surfaces, or ‘maps’. The system stores and differentiates between multiple maps, all created online. Once recognized, maps are tracked using a hybrid algorithm based on feature matching and inlier tracking. With the increasing ubiquity and capability of mobile devices, we believe it is possible to perform robust, markerless AR on current generation tablets and smartphones. The proposed system is shown to operate in real-time on mobile devices, and generate robust augmentations under a wide range of map compositions and viewing conditions.

scholarly journals A markerless augmented reality system for mobile devices

2021 ◽  
Author(s):  
Alex Ufkes
Keyword(s):  
Augmented Reality ◽  
Mobile Devices ◽  
Hybrid Algorithm ◽  
Feature Matching ◽  
Fiducial Markers ◽  
Textured Surfaces ◽  
Augmented Reality System ◽  
Camera View ◽  
Wide Range ◽  
World Environment

Augmented Reality (AR) combines a live camera view of a real world environment with computer-generated virtual content. Alignment of these viewpoints is done by recognizing artificial fiducial markers, or, more recently, natural features already present in the environment. This is known as Marker-based and Markerless AR respectively. We present a markerless AR system that is not limited to artificial markers, but is capable of rendering augmentations over user-selected textured surfaces, or ‘maps’. The system stores and differentiates between multiple maps, all created online. Once recognized, maps are tracked using a hybrid algorithm based on feature matching and inlier tracking. With the increasing ubiquity and capability of mobile devices, we believe it is possible to perform robust, markerless AR on current generation tablets and smartphones. The proposed system is shown to operate in real-time on mobile devices, and generate robust augmentations under a wide range of map compositions and viewing conditions.

Supporting the Assembly Process by Leveraging Augmented Reality, Cloud Computing, and Mobile Devices

2012 ◽  
Vol 2 (3) ◽  
pp. 86-102 ◽  
Author(s):  
Javier Gonzalez-Sanchez ◽  
Quincy Conley ◽  
Maria-Elena Chavez-Echeagaray ◽  
Robert K. Atkinson
Keyword(s):  
Cloud Computing ◽  
Augmented Reality ◽  
Mobile Devices ◽  
Assembly Process ◽  
Industrial Setting ◽  
Wide Range ◽  
Innovative System ◽  
Educational Applications ◽  
Product Assembly ◽  
Domain Independent

The assembly process is often very complex and involved, collecting and managing a significant number of parts in an intricate manner. Because the quality of a product is in large part impacted by the assembly process, intuitive and carefully scaffolded guidelines can make a difference in how fast and how accurate an assembler can complete the assembly process. To this end, the authors propose an innovative system that leverages three current and emerging technologies; augmented reality (AR), cloud computing, and mobile devices, to create an Augmented Reality Product Assembly (ARPA) system. This paper describes the total framework for creating the ARPA system. They also discuss how the system leverages augmented reality visualizations for repurposing user-generated assembly guidelines by incorporating cloud-based computing. Although the authors situate ARPA’s use in an industrial setting, it is domain-independent and able to support a wide range of practical and educational applications.

scholarly journals Using smart glasses for ultrasound diagnostics

2015 ◽  
Vol 1 (1) ◽  
pp. 196-197 ◽  
Author(s):  
Stefan Maas ◽  
Marvin Ingler ◽  
Heinrich Martin Overhoff
Keyword(s):  
Augmented Reality ◽  
Diagnostic Tool ◽  
Ultrasound Image ◽  
Ultrasound Transducer ◽  
Ultrasound Images ◽  
Augmented Reality System ◽  
Smart Glasses ◽  
Ultrasound Diagnostics ◽  
Wide Range ◽  
Direct View

AbstractUltrasound has been established as a diagnostic tool in a wide range of applications. Especially for beginners, the alignment of sectional images to patient’s spatial anatomy can be cumbersome. A direct view onto the patient’s anatomy while regarding ultrasound images may help to overcome unergonomic examination.To solve these issues an affordable augmented reality system using smart glasses was created, that displays a (virtual) ultrasound image beneath a (real) ultrasound transducer.

Development of Molding Tool with Augmented Reality Technology Application

2013 ◽  
Vol 442 ◽  
pp. 203-208
Author(s):  
Jozef Novak-Marcincin
Keyword(s):  
Augmented Reality ◽  
Technology Application ◽  
Additional Information ◽  
Augmented Reality System ◽  
Real Scene ◽  
Augmented Reality Technology ◽  
Virtual And Augmented Reality ◽  
Developing Area ◽  
Molding Tool ◽  
World Environment

Augmented Reality (AR) is a developing area of virtual reality research. The world environment around us provides a wealth of information that is difficult to duplicate in a computer. This is evidenced by the worlds used in virtual environments. An augmented reality system generates a composite view for the user. It is a combination of the real scene viewed by the user and a virtual scene generated by the computer that augments the scene with additional information. In paper is presented the example of virtual and augmented reality application in area of molding tool assembly realized by author.

A Mobile Augmented Reality System for Enhancing Electrical Machine Supervision

2019 ◽  
pp. 98-121
Author(s):  
Jesús Gimeno ◽  
Sergio Casas ◽  
Cristina Portalés
Keyword(s):  
Augmented Reality ◽  
Vision System ◽  
Industrial Process ◽  
Electrical Machines ◽  
Electrical Machine ◽  
Fiducial Markers ◽  
Client Application ◽  
Augmented Reality System ◽  
Almost Everywhere ◽  
Mobile Ar

Electrical machines are used almost everywhere, and our daily life depends on them. For this reason, it is important to articulate mechanisms to control, supervise, and perform proper maintenance of these machines, especially those used in critical industrial process. The SCADA protocol is one of the technologies that eases the operation and supervision of electrical machines. However, the absence of a spatial connection between the SCADA signals and the machines being supervised suggests the use of augmented reality (AR) to fill this void. This chapter describes SIMARA: A Mobile AR application based on a dual computer-vision system (QR-codes and fiducial markers). SIMARA provides a robust client application for the integration of AR and SCADA signals by means of virtual panels shown on top of real SCADA machines. An authoring tool is also provided in order for users to customize the application to their particular needs, allowing to create, by means of web services, customized virtual panels, and links between SCADA signals and the virtual information shown in the AR application.

Augmented reality–guided neurosurgery: accuracy and intraoperative application of an image projection technique

2015 ◽  
Vol 123 (1) ◽  
pp. 206-211 ◽  
Author(s):  
Leila Besharati Tabrizi ◽  
Mehran Mahvash
Keyword(s):  
Augmented Reality ◽  
Neurosurgical Procedures ◽  
Fiducial Markers ◽  
Projection Technique ◽  
Image Guided ◽  
Augmented Reality System ◽  
Brain Surface ◽  
Image Projection ◽  
The Mean ◽  
Projection Error

OBJECT An augmented reality system has been developed for image-guided neurosurgery to project images with regions of interest onto the patient's head, skull, or brain surface in real time. The aim of this study was to evaluate system accuracy and to perform the first intraoperative application. METHODS Images of segmented brain tumors in different localizations and sizes were created in 10 cases and were projected to a head phantom using a video projector. Registration was performed using 5 fiducial markers. After each registration, the distance of the 5 fiducial markers from the visualized tumor borders was measured on the virtual image and on the phantom. The difference was considered a projection error. Moreover, the image projection technique was intraoperatively applied in 5 patients and was compared with a standard navigation system. RESULTS Augmented reality visualization of the tumors succeeded in all cases. The mean time for registration was 3.8 minutes (range 2–7 minutes). The mean projection error was 0.8 ± 0.25 mm. There were no significant differences in accuracy according to the localization and size of the tumor. Clinical feasibility and reliability of the augmented reality system could be proved intraoperatively in 5 patients (projection error 1.2 ± 0.54 mm). CONCLUSIONS The augmented reality system is accurate and reliable for the intraoperative projection of images to the head, skull, and brain surface. The ergonomic advantage of this technique improves the planning of neurosurgical procedures and enables the surgeon to use direct visualization for image-guided neurosurgery.

scholarly journals An augmented reality system for improving health and safety in the electro-energetics industry

2018 ◽  
Vol 31 (4) ◽  
pp. 585-598 ◽  
Author(s):  
Dusan Tatic
Keyword(s):  
Augmented Reality ◽  
Mobile Devices ◽  
Technological Process ◽  
Occupational Safety ◽  
Health And Safety ◽  
Industrial Plants ◽  
Augmented Reality System ◽  
Smart Mobile ◽  
Server Architecture

Occupational safety has a crucial role in every technological process in industry environments. Recently, smart mobile devices have become standard hardware that can help inform workers about their duties and procedures during work. In this paper, we present an augmented reality (AR) system for mobile devices as a tool for safeguarding health and safety, and the secure performance of tasks in a technological process by following virtual instructions in the workplace. In a case study, we explored the task procedures and defined the risk factors in the electro-energetics industry. Based on that, we implement a corresponding AR system that should be used to issue occupational safety and work instructions to workers during task execution. With that aim in mind, we designed a client-server architecture to project the related instructions on the screen of the mobile device, to ensure the confirmation of implementing them, as well as to keep a record of all the steps the worker performed. As an illustrative example, we present the application of the designed AR system to particular tasks in electro-energetics industrial plants.

scholarly journals Sports Video Augmented Reality Real-Time Image Analysis of Mobile Devices

2021 ◽  
Vol 2021 ◽  
pp. 1-13
Author(s):  
Hui Wang ◽  
Meng Wang ◽  
Peng Zhao
Keyword(s):  
Augmented Reality ◽  
Real Time ◽  
Mobile Devices ◽  
Hough Transform ◽  
Feature Matching ◽  
Tracking Algorithm ◽  
Sports Video ◽  
Detection And Tracking ◽  
Real Time Image ◽  
Time Image

Sports video is loved by the audience because of its unique charm, so it has high research value and application value to analyze and study the video data of competition. Based on the background of football match, this paper studies the football detection and tracking algorithm in football game video and analyzes the real-time image of real-time mobile devices in sports video augmented reality. Firstly, the image is preprocessed by image graying, image denoising, image binarization, and so on. Secondly, Hough transform is used to locate and detect football, and according to the characteristics of football, Hough transform is improved. Based on the good performance of SIFT algorithm in feature matching, a football tracking algorithm based on SIFT feature matching is proposed, which matches the detected football with the sample football. The simulation results show that the improved Hough transform can effectively detect football and has good antijamming performance. And the designed football tracking algorithm based on SIFT feature matching can accurately track the football trajectory; therefore, the football detection and tracking algorithm designed in this paper is suitable for real-time football monitoring and tracking.

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