Resolving occlusion in augmented reality
I3D '95 Proceedings of the 1995 symposium on Interactive 3D graphics
The first order expansion of motion equations in the uncalibrated case
Computer Vision and Image Understanding
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
The visualization toolkit (2nd ed.): an object-oriented approach to 3D graphics
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
International Journal of Computer Vision - 1998 Marr Prize
Calibration Requirements and Procedures for a Monitor-Based Augmented Reality System
IEEE Transactions on Visualization and Computer Graphics
Acquiring a Radiance Distribution to Superimpose Virtual Objects onto a Real Scene
IEEE Transactions on Visualization and Computer Graphics
Recursive Estimation of Motion, Structure, and Focal Length
IEEE Transactions on Pattern Analysis and Machine Intelligence
Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
3D Model Acquisition from Extended Image Sequences
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Augmented Reality Using Uncalibrated Video Sequences
SMILE '00 Revised Papers from Second European Workshop on 3D Structure from Multiple Images of Large-Scale Environments
Vision-Based Object Registration for Real-Time Image Overlay
CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
Resolving Occlusion in Augmented Reality: a Contour Based Approach without 3D Reconstruction
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Autocalibration and the absolute quadric
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Affine Object Representations for Calibration-Free Augmented Reality
VRAIS '96 Proceedings of the 1996 Virtual Reality Annual International Symposium (VRAIS 96)
Visual navigation using a single camera
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
From Projective to Euclidean Space Under any Practical Situation, a Criticism of Self-Calibration
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Hand-held acquisition of 3D models with a video camera
3DIM'99 Proceedings of the 2nd international conference on 3-D digital imaging and modeling
Motion Tracking: No Silver Bullet, but a Respectable Arsenal
IEEE Computer Graphics and Applications
Lens Distortion Recovery for Accurate Sequential Structure and Motion Recovery
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Drift Detection and Removal for Sequential Structure from Motion Algorithms
IEEE Transactions on Pattern Analysis and Machine Intelligence
Modeling and rendering of walkthrough environments with panoramic images
Proceedings of the ACM symposium on Virtual reality software and technology
Efficient, causal camera tracking in unprepared environments
Computer Vision and Image Understanding
ACM Transactions on Applied Perception (TAP)
SVR-Based Jitter Reduction for Markerless Augmented Reality
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Efficient, causal camera tracking in unprepared environments
Computer Vision and Image Understanding
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Augmented Reality (AR) can hardly be called uncharted territory. Much research in this area revealed solutions to the three most prominent challenges of AR: accurate camera state retrieval, resolving occlusions between real and virtual objects and extraction of environment illumination distribution. Solving these three challenges improves the illusion of virtual entities belonging to our reality. This paper demonstrates an elaborated framework that recovers accurate camera states from a video sequence based on feature tracking. Without prior calibration knowledge, it is able to create AR Video products with negligible/invisible jitter or drift of virtual entities starting from general input video sequences. Together with the referenced papers, this work describes a readily implementable and robust AR-System.