Paper Info
Title
A real-time x-ray mobile application using augmented reality and google street view.
Abstract
X-ray view can be defined as the ability one has to see through real surfaces. Although this skill is often associated with superheroes and medical examination, there are several researches conducted to employ X-ray view in numerous applications. However, the generation of X-ray visualization includes numerous challenges regarding occlusion, realistic appearance, and depth perception. In this paper, we present a mobile application that uses Augmented Reality and Google Street View to allow users experience real-time X-ray vision. The proposed application was designed to enhance previous Augmented Reality X-ray systems, by introducing a silhouette computation method to provide visual context from the occluder and a perspective estimation system that improves the projection of occluded images into the real scene. Additionally, we implemented two usability studies to assess qualitative aspects of both silhouettes and perspective estimation to generate better X-ray effects. Results indicate good acceptance of the novel X-ray visualization method and a great usability score on the SUS scale for the mobile application.
Year
DOI
Venue
2016
10.1145/2993369.2993370
VRST
Keywords
Field
DocType
Augmented reality, Mobile and embedded devices, Image and Video Processing in UI
Computer vision,Computer graphics (images),Simulation,Computer science,Silhouette,Visualization,Usability,Augmented reality,Computer-mediated reality,Artificial intelligence,Depth perception,Computation
Conference
Citations 
PageRank 
References 
1
0.36
12
Authors
3
Name
Order
Citations
PageRank
Luís Fernando Maia Silva181.91
Windson Viana220128.40
Fernando Trinta33914.93