Paper Info
Title
Non-Marker based Mobile Augmented Reality and its Applications using Object Recognition.
Abstract
As the augmented reality technology has become more pervasive and applicable, it is easily seen in our daily lives regardless of fields and scopes. Existing camera vision based augmented reality techniques depend on marker based approaches rather than real world information. The augmented reality technology using marker recognition has limitations in its applicability and provision of proper environment to guarantee user's immersiveness to relevant service application programs. This study aims to implement a smart mobile terminal based augmented reality technology by using a camera built in a terminal device and image and video processing technology without any markers so that users can recognize multimedia objects from real world images and build an augmented reality service, where 3D content connected to objects and relevant information are added to the real world image. Object recognition from a real world image is involved in a process of comparison against preregistered reference information, where operation to measure similarity is reduced for faster running of the application, considering the characteristics of smart mobile devices. Furthermore, the design allows users to interact through touch events on the smart device after 3D content is output onto the terminal screen. Afterward, users can browse object related information on the web. The augmented reality technology appropriate for the smart mobile environment is proposed and tested through several experiments and showed reliable performances in the results.
Year
Venue
Keywords
2012
JOURNAL OF UNIVERSAL COMPUTER SCIENCE
Mobile,Augmented Reality,Image,Object,Recognition
Field
DocType
Volume
Video processing,Smart device,Computer science,Augmented reality,Vision based,Computer-mediated reality,Mobile device,Multimedia,Terminal device,Cognitive neuroscience of visual object recognition
Journal
18
Issue
ISSN
Citations 
20
0948-695X
0
PageRank 
References 
Authors
0.34
24
2
Name
Order
Citations
PageRank
Daewon Kim14511.29
Doosung Hwang2474.75