Sequential Updating of Projective and Affine Structure from Motion
International Journal of Computer Vision
Stratified Self-Calibration with the Modulus Constraint
IEEE Transactions on Pattern Analysis and Machine Intelligence
Euclidean 3D Reconstruction from Image Sequences with Variable Focal Lenghts
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume I - Volume I
A Factorization Based Algorithm for Multi-Image Projective Structure and Motion
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Euclidean Reconstruction from Uncalibrated Views
Proceedings of the Second Joint European - US Workshop on Applications of Invariance in Computer Vision
Factorization Methods for Projective Structure and Motion
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Projective Reconstruction from Multiple Views with Minimization of 2D Reprojection Error
International Journal of Computer Vision
A subspace method for projective reconstruction from multiple images with missing data
Image and Vision Computing
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The problem of projective reconstruction for multiple views is considered using a factorization method. A common difficulty of existing formulations of the factorization problem is that they do not adequately constrain the depth parameters thus allowing the algorithm to converge to 'view-deficient' solutions with entire views being suppressed. We propose to include a variance measure with an adaptive weighting parameter in the formulation of the factorization problem to overcome this difficulty. Algorithmic solutions with guaranteed convergence are provided to perform factorization under the condition that there may be missing data in the images.