Computer Vision for Mobile Augmented Reality

2015 ◽  
pp. 3-42 ◽  
Author(s):  
Matthew Turk ◽  
Victor Fragoso
Keyword(s):  
Computer Vision ◽  
Augmented Reality ◽  
Mobile Augmented Reality

scholarly journals A Model to Support Fluid Transitions between Environments for Mobile Augmented Reality Applications

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4254
Author(s):  
Tiago Davi Oliveira de Araújo ◽  
Carlos Gustavo Resque dos Santos ◽  
Rodrigo Santos do Amor Divino Lima ◽  
Bianchi Serique Meiguins
Keyword(s):  
Computer Vision ◽  
Augmented Reality ◽  
Hybrid Approach ◽  
Indoor Environments ◽  
Mobile Augmented Reality ◽  
Adaptive Model ◽  
Lighting Conditions ◽  
Different Types ◽  
Navigation Test ◽  
Range Sensors

The adaptability between different environments remains a challenge for Mobile Augmented Reality (MAR). If not done seamlessly, such transitions may cause discontinuities in navigation, consequently disorienting users and undermining the acceptance of this technology. The transition between environments is hard because there are currently no localization techniques that work well in any place: sensor-based applications can be harmed by obstacles that hamper sensor communication (e.g., GPS) and by infrastructure limitations (e.g., Wi-Fi), and image-based applications can be affected by lighting conditions that impair computer vision techniques. Hence, this paper presents an adaptive model to perform transitions between different types of environments for MAR applications. The model has a hybrid approach, choosing the best combination of long-range sensors, short-range sensors, and computer vision techniques to perform fluid transitions between environments that mitigate problems in location, orientation, and registration. To assess the model, we developed a MAR application and conducted a navigation test with volunteers to validate transitions between outdoor and indoor environments, followed by a short interview. The results show that the transitions were well succeeded, since the application self-adapted to the studied environments, seamlessly changing sensors when needed.

scholarly journals A Mobile Augmented Reality Emulator for Android

2017 ◽  
Vol 29 (1) ◽  
Author(s):  
Donald Munro ◽  
Andre Calitz ◽  
Dieter Vogts
Keyword(s):  
Computer Vision ◽  
Augmented Reality ◽  
Software Development ◽  
Mobile Devices ◽  
Sensor Data ◽  
Rapid Progression ◽  
Mobile Augmented Reality ◽  
Development Tools ◽  
Independent Field ◽  
Software Development Tools

Augmented Reality (AR) provides a fusion of the real and virtual worlds by superimposing virtual objects on real world scenery. The implementation of AR on mobile devices is known as Mobile Augmented Reality (MAR). MAR is in its infancy and MAR development software is in the process of maturing. Dating back to the origin of Computer Science as an independent field, software development tools have been an integral part of the process of software creation. MAR, being a relatively new technology, is still lacking such related software development tools. With the rapid progression of mobile devices, the development of MAR applications fusing advanced Computer Vision techniques with mobile device sensors have become increasingly feasible. However, testing and debugging of MAR applications present a new challenge in that they require the developer be at the location that is being augmented at some point during the development process. In this research study, a MAR recorder application was developed as well as emulation class libraries for Android devices that allows the recording and off-site playback of video, location and motion sensor data. The research objective was to provide a software emulator which provides debugging, testing and prototyping capabilities for a MAR application including the ability to emulate the combination of computer vision with locational and motion sensors using previously recorded data. The emulator was evaluated using different mobile technologies. The results indicate that this research could assist developers of MAR applications to implement applications more rapidly, without being at the location.

Modern Technology for Image processing and Computer vision -A Review

2018 ◽  
Vol 1 (2) ◽  
pp. 17-23
Author(s):  
Takialddin Al Smadi
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Augmented Reality ◽  
Video Compression ◽  
Video Processing ◽  
Vision System ◽  
Citrus Fruit ◽  
Modern Technology ◽  
Image And Video Processing ◽  
Depth Video

This survey outlines the use of computer vision in Image and video processing in multidisciplinary applications; either in academia or industry, which are active in this field.The scope of this paper covers the theoretical and practical aspects in image and video processing in addition of computer vision, from essential research to evolution of application.In this paper a various subjects of image processing and computer vision will be demonstrated ,these subjects are spanned from the evolution of mobile augmented reality (MAR) applications, to augmented reality under 3D modeling and real time depth imaging, video processing algorithms will be discussed to get higher depth video compression, beside that in the field of mobile platform an automatic computer vision system for citrus fruit has been implemented ,where the Bayesian classification with Boundary Growing to detect the text in the video scene. Also the paper illustrates the usability of the handed interactive method to the portable projector based on augmented reality.   © 2018 JASET, International Scholars and Researchers Association

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