Paper Info
Title
Model-free augmented reality by virtual visual servoing
Abstract
This work presents a method based on the virtual visual servoing approach [Marchard, E et al., 2002] to achieve markerless augmented reality applications. This work aims to realize this task using as little prior 3D information as possible. Virtual visual servoing techniques that lead to a non-linear minimization approach allow one to estimate the 2D transformation between two images of a video sequence which permits to achieve augmented reality on this sequence. Thanks to the work that has already been carried out in this domain, the presented method is efficient and robust wrt. noise and occlusions. It allows very realistic augmented videos with minimum knowledge about the real environment.
Year
DOI
Venue
2004
10.1109/ICPR.2004.1334401
Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference
Keywords
Field
DocType
image motion analysis,image sequences,minimisation,2D transformation estimation,3D information,model-free augmented reality,nonlinear minimization approach,video sequence,virtual visual servoing
Computer vision,Computer graphics (images),Computer science,Augmented reality,Minification,Minimisation (psychology),Visual servoing,Artificial intelligence
Conference
Volume
ISSN
ISBN
2
1051-4651
0-7695-2128-2
Citations 
PageRank 
References 
6
0.47
11
Authors
2
Name
Order
Citations
PageRank
Muriel Pressigout129115.52
E. Marchand21605114.99