Computational geometry: an introduction
Computational geometry: an introduction
Parameter estimation and hypothesis testing in linear models
Parameter estimation and hypothesis testing in linear models
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Robust model-based motion tracking through the integration of search and estimation
International Journal of Computer Vision
Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Plenoptic modeling: an image-based rendering system
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Fast and Globally Convergent Pose Estimation from Video Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer and Robot Vision
Analysis of Head Pose Accuracy in Augmented Reality
IEEE Transactions on Visualization and Computer Graphics
Registration of Cad-Models to Images by Iterative Inverse Perspective Matching
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Marker-less Tracking for AR: A Learning-Based Approach
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Online 6 DOF Augmented Reality Registration from Natural Features
ISMAR '02 Proceedings of the 1st International Symposium on Mixed and Augmented Reality
Robust Vision-Based Registration Utilizing Bird's-Eye View with User's View
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Fully Automated and Stable Registration for Augmented Reality Applications
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Model-Based Tracking with Stereovision for AR
ISMAR '03 Proceedings of the 2nd IEEE/ACM International Symposium on Mixed and Augmented Reality
Stable Real-Time 3D Tracking Using Online and Offline Information
IEEE Transactions on Pattern Analysis and Machine Intelligence
Natural feature tracking for augmented reality
IEEE Transactions on Multimedia
A Balanced Approach to 3D Tracking from Image Streams
ISMAR '05 Proceedings of the 4th IEEE/ACM International Symposium on Mixed and Augmented Reality
A markerless registration method for augmented reality based on affine properties
AUIC '06 Proceedings of the 7th Australasian User interface conference - Volume 50
Utilizing RFIDs for Location Aware Computing
UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
High-fidelity visuo-haptic interaction with virtual objects in multi-modal AR systems
ISMAR '06 Proceedings of the 5th IEEE and ACM International Symposium on Mixed and Augmented Reality
A System Architecture for Ubiquitous Tracking Environments
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
A Fast Initialization Method for Edge-based Registration Using an Inclination Constraint
ISMAR '07 Proceedings of the 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality
Location aware computing using RFID infrastructure
International Journal of Autonomous and Adaptive Communications Systems
Location aware computing using RFID infrastructure
International Journal of Autonomous and Adaptive Communications Systems
Markerless pose tracking for augmented reality
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part I
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We introduce a novel sensor fusion approach for automated initialization of marker-less tracking systems. It is not limitated in tracking range and working environment, given a 3D model of the objects or the real scene. This is achieved based on a statistical analysis and probabilistic estimation of the uncertainties of the tracking sensors. The explicit representation of the error distribution allows the fusion of different sensor data. This methodology was applied to an augmented reality system, using a mobile camera and several stationary tracking sensors, and can be easily extended to the case of any additional sensor. In order to solve the initialization problem, we adapt, modify and integrate advanced techniques such as plenoptic viewing, intensity-based registration, and ICP. Thereby the registration error is minimized in 3D object space rather than in 2D image. Experimental results show how complex objects can be registered efficiently and accurately to a single image.