Fast and Accurate Algorithms for Projective Multi-Image Structure from Motion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reconstruction of General Curves, Using Factorization and Bundle Adjustment
International Journal of Computer Vision
Integrating Local Affine into Global Projective Images in the Joint Image Space
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part I
Iterative Extensions of the Sturm/Triggs Algorithm: Convergence and Nonconvergence
IEEE Transactions on Pattern Analysis and Machine Intelligence
On the Topology and Geometry of Spaces of Affine Shapes
Journal of Mathematical Imaging and Vision
Scene point constraints in camera auto-calibration: an implementational perspective
Image and Vision Computing
Iterative extensions of the sturm/triggs algorithm: convergence and nonconvergence
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part IV
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In this paper a novel recursive method for estimating structure and motion from image sequences is presented. The novelty lies in the fact that the output of the algorithm is independent of the chosen coordinate systems in the images as well as the ordering of the points. It relies on subspace methods and is derived from both ordinary coordinate representations and camera matrices and from a so called depth and shape analysis. Furthermore, no initial phase is needed to start up the algorithm. It starts directly with the first two images and incorporates new images as soon as new corresponding points are obtained. The performance of the algorithm is shown on simulated data.Moreover, the two different approaches, one using camera matrices and the other using the concepts of affine shape and depth, are unified into a general theory of structure and motion from image sequences.