Canonical representations for the geometries of multiple projective views
Computer Vision and Image Understanding
Projected Imagery in Your "Office of the Future"
IEEE Computer Graphics and Applications
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
Multiple View Geometry in Computer Vision
Multiple View Geometry in Computer Vision
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Monocular model-based 3D tracking of rigid objects
Foundations and Trends® in Computer Graphics and Vision
A random sampling strategy for piecewise planar scene segmentation
Computer Vision and Image Understanding
MonoSLAM: Real-Time Single Camera SLAM
IEEE Transactions on Pattern Analysis and Machine Intelligence
Speeded-Up Robust Features (SURF)
Computer Vision and Image Understanding
Parallel Tracking and Mapping for Small AR Workspaces
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
KinectFusion: Real-time dense surface mapping and tracking
ISMAR '11 Proceedings of the 2011 10th IEEE International Symposium on Mixed and Augmented Reality
Discovering Higher Level Structure in Visual SLAM
IEEE Transactions on Robotics
DTAM: Dense tracking and mapping in real-time
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
| Hi-index | 0.00 |
In this paper, we propose a general purpose Augmented Reality AR system that allows to add easily 3D computer generated CG objects into real man-made environments. Our system goes to a very intuitive and easy in situ 3D structure recovery of planar piecewise scenes without using powerful hardware nor commodity sensors. The user simply has to move the camera translation of the focus is mandatory and take two different pictures of the scene and our approach obtains a rough planar piecewise representation of the environment suitable to conduct multi-planar tracking for visual model-based augmented reality and to augment it with virtual objects coherently. Polyhedral representations of scenes are very convenient for manmade environments indoor e.g., offices, rooms, classrooms and outdoor e.g., looking at facades, floor, hence we focus the potential applications of our system to augment simple rooms or urban scenes with virtual imagery.