Shape and motion from image streams under orthography: a factorization method
International Journal of Computer Vision
International Journal of Computer Vision
Tracking based structure and motion recovery for augmented video productions
VRST '01 Proceedings of the ACM symposium on Virtual reality software and technology
Dynamic Registration Correction in Video-Based Augmented Reality Systems
IEEE Computer Graphics and Applications
Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Automatic Camera Recovery for Closed or Open Image Sequences
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Lens Distortion Recovery for Accurate Sequential Structure and Motion Recovery
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Autocalibration and the absolute quadric
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Merging Real and Virtual Environments with Video See-Through Head-Mounted Displays
Merging Real and Virtual Environments with Video See-Through Head-Mounted Displays
Efficient, causal camera tracking in unprepared environments
Computer Vision and Image Understanding
A mapping and localization framework for scalable appearance-based navigation
Computer Vision and Image Understanding
Efficient, causal camera tracking in unprepared environments
Computer Vision and Image Understanding
Stable structure from motion for unordered image collections
SCIA'11 Proceedings of the 17th Scandinavian conference on Image analysis
Feature trajectory retrieval with application to accurate structure and motion recovery
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
3D geometry from uncalibrated images
ISVC'06 Proceedings of the Second international conference on Advances in Visual Computing - Volume Part II
Enhancing point clouds accuracy of small baseline images based on convex optimization
IEA/AIE'12 Proceedings of the 25th international conference on Industrial Engineering and Other Applications of Applied Intelligent Systems: advanced research in applied artificial intelligence
Hi-index | 0.15 |
In sequential Structure from Motion algorithms for extended image or video sequences, error build up caused by drift poses a problem as feature tracks that normally represent a single scene point will have distinct 3D reconstructions. For the final bundle adjustment to remove this drift, it must be told about these 3D-3D correspondences through a change in the cost function. However, as a bundle adjustment is a nonlinear optimization technique, the drift needs to be removed from the supplied initial solution to allow for convergence of the bundle adjustment to the real global optimum. Before drift can be removed, it has to be detected. This is accomplished through understanding of the long term behavior of drift which leaves 3D reconstructions from short sequences intact. Drift detection boils down to identifying reconstructions of the same scene part that only differ up to a projective transformation. After detection, the drift can be removed from future processed images and an Adapted Bundle Adjustment using correspondences supplied by the drift detection can remove the drift from previous images. Several experiments on real video sequences demonstrate the merit of drift detection and removal.