Title
Mixing synthetic and video images of an outdoor urban environment
Abstract
Mixing video and computer-generated images is a new and promising area of research for enhancing reality. It can be used in all the situations when a complete simulation would not be easy to implement. Past work on the subject has relied for a large part on human intervention at key moments of the composition. In this paper, we show that if enough geometric information about the environment is available, then efficient tools developed in the computer vision literature can be used to build a highly automated augmented reality loop. We focus on outdoor urban environments and present an application for the visual assessment of a new lighting project of the bridges of Paris. We present a fully augmented 300-image sequence of a specific bridge, the Pont Neuf. Emphasis is put on the robust calculation of the camera position. We also detail the techniques used for matching 2D and 3D primitives and for tracking features over the sequence. Our system overcomes two major difficulties. First, it is capable of handling poor-quality images, resulting from the fact that images were shot at night since the goal was to simulate a new lighting system. Second, it can deal with important changes in viewpoint position and in appearance along the sequence. Throughout the paper, many results are shown to illustrate the different steps and difficulties encountered.
Year
DOI
Venue
1999
10.1007/s001380050098
Mach. Vis. Appl.
Keywords
DocType
Volume
video image,enriched image sequence,augmented reality,viewpoint position,300-image sequence,viewpoint determination,Pont Neuf,tracking,complete simulation,computer vision literature,new lighting system,augmented reality loop,camera position,new lighting project,outdoor urban environment,computer-generated image
Journal
11
Issue
ISSN
Citations 
3
0932-8092
6
PageRank 
References 
Authors
0.85
15
4
Name
Order
Citations
PageRank
M. O. Berger1638.51
B. Wrobel-Dautcourt2212.62
S. Petitjean360.85
G. Simon460.85