Title
Image-driven view management for augmented reality browsers
Abstract
In this paper, we introduce a novel view management technique for placing labels in Augmented Reality systems. A common issue in many Augmented Reality applications is the absence of knowledge of the real environment, limiting the efficient representation and optimal layout of the digital information augmented onto the real world. To overcome this problem, we introduce an image-based approach, which combines a visual saliency algorithm with edge analysis to identify potentially important image regions and geometric constraints for placing labels. Our proposed solution also includes adaptive rendering techniques that allow a designer to control the appearance of depth cues. We describe the results obtained from a user study considering different scenarios, which we performed for validating our approach. Our technique will provide special benefits to Augmented Reality browsers that usually lack scene knowledge, but also to many other applications in the domain of Augmented Reality such as cultural heritage and maintenance applications.
Year
DOI
Venue
2012
10.1109/ISMAR.2012.6402555
Mixed and Augmented Reality
Keywords
Field
DocType
augmented reality system,novel view management technique,scene knowledge,real environment,image-based approach,image-driven view management,real world,adaptive rendering technique,augmented reality browser,augmented reality,augmented reality application,labeling,layout,linear programming,geometry,visualization,edge detection
Cultural heritage,Computer science,Edge detection,Augmented reality,Human–computer interaction,Linear programming,Artificial intelligence,Computer vision,View management,Visualization,Depth perception,Rendering (computer graphics),Multimedia
Conference
ISSN
ISBN
Citations 
1554-7868
978-1-4673-4661-0
38
PageRank 
References 
Authors
1.48
29
5
Name
Order
Citations
PageRank
Grasset, Raphael142931.38
Tobias Langlotz239936.80
Kalkofen, Denis335128.66
Markus Tatzgern41068.43
Dieter Schmalstieg54169332.77