The representation, recognition, and locating of 3-d objects
International Journal of Robotics Research
International Journal of Robotics Research
Trajectory Triangulation: 3D Reconstruction of Moving Points from a Monocular Image Sequence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiple view geometry in computer vision
Multiple view geometry in computer vision
Spatio-Temporal Alignment of Sequences
IEEE Transactions on Pattern Analysis and Machine Intelligence
Sequence-to-Sequence Self Calibration
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Multibody Structure and Motion: 3-D Reconstruction of Independently Moving Objects
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
A multi-body factorization method for motion analysis
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Motion Segmentation and Tracking Using Normalized Cuts
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Synchronization and Calibration of Camera Networks from Silhouettes
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 1 - Volume 01
Reconstructing 3D trajectories of independently moving objects using generic constraints
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
Background Recognition in Dynamic Scenes with Motion Constraints
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
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The paper presents a method for multi-dimensional registration of two video streams. The sequences are captured by two hand-held cameras moving independently with respect to each other, both observing one object rigidly moving apart from the background. The method is based on uncalibrated Structure-from-Motion (SfM) to extract 3D models for the foreground object and the background, as well as for their relative motion. It fixes the relative scales between the scene parts within and between the videos. It also provides the registration between all partial 3D models, and the temporal synchronization between the videos. The crux is that not a single point on the foreground or background needs to be in common between both video streams. Extensions to more than two cameras and multiple foreground objects are possible.