Three-dimensional computer vision: a geometric viewpoint
Three-dimensional computer vision: a geometric viewpoint
Multibody Grouping from Motion Images
International Journal of Computer Vision
A Multibody Factorization Method for Independently Moving Objects
International Journal of Computer Vision
Multiple view geometry in computer visiond
Multiple view geometry in computer visiond
Estimation of Relative Camera Positions for Uncalibrated Cameras
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Camera Self-Calibration: Theory and Experiments
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Motion and Structure Factorization and Segmentation of Long Multiple Motion Image Sequences
ECCV '92 Proceedings of the Second European Conference on Computer Vision
Self-Calibration from Image Triplets
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
Using Singular Displacements for Uncalibrated Monocular Visual Systems
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
Automatic Camera Recovery for Closed or Open Image Sequences
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Autocalibration from Planar Scenes
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Euclidean Reconstruction from Uncalibrated Views
Proceedings of the Second Joint European - US Workshop on Applications of Invariance in Computer Vision
Autocalibration and the absolute quadric
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
The Modulus Constraint: A New Constraint for Self-Calibration
ICPR '96 Proceedings of the 1996 International Conference on Pattern Recognition (ICPR '96) Volume I - Volume 7270
Maintaining Multiple Motion Model Hypotheses Over Many Views to Recover Matching and Structure
ICCV '98 Proceedings of the Sixth 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
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Structure and Motion for Dynamic Scenes - The Case of Points Moving in Planes
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
General Trajectory Triangulation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
Segmenting, modeling, and matching video clips containing multiple moving objects
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
The space of multibody fundamental matrices: rank, geometry and projection
WDV'05/WDV'06/ICCV'05/ECCV'06 Proceedings of the 2005/2006 international conference on Dynamical vision
3D dense reconstruction from 2D video sequence via 3D geometric segmentation
Journal of Visual Communication and Image Representation
Mobile surveillance by 3D-outlier analysis
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
Space-time-scale registration of dynamic scene reconstructions
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
View synthesis of scenes with multiple independently translating objects from uncalibrated views
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Joint estimation of segmentation and structure from motion
Computer Vision and Image Understanding
Interactive object modelling based on piecewise planar surface patches
Computer Vision and Image Understanding
Multi-object reconstruction from dynamic scenes: An object-centered approach
Computer Vision and Image Understanding
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This paper extends the recovery of structure and motion to image sequences with several independently moving objects. The motion, structure, and camera calibration are all a-priori unknown. The fundamental constraint that we introduce is that multiple motions must share the same camera parameters. Existing work on independent motions has not employed this constraint, and therefore has not gained over independent static-scene reconstructions. We show how this constraint leads to several new results in structure and motion recovery, where Euclidean reconstruction becomes possible in the multibody case, when it was underconstrained for a static scene. We show how to combine motions of high-relief, low-relief and planar objects. Additionally we show that structure and motion can be recovered from just 4 points in the uncalibrated, fixed camera, case. Experiments on real and synthetic imagery demonstrate the validity of the theory and the improvement in accuracy obtained using multibody analysis.