Motion Estimation in Image Sequences Using the Deformation of Apparent Contours
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Global Solution to Sparse Correspondence Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Maximizing Rigidity: Optimal Matching under Scaled-Orthography
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
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In this paper, we propose an algorithm for doing reconstruction of general SD-curves from a number of 2D-images taken by uncalibrated cameras. No point correspondences between the images are assumed. The curve and the view points are uniquely reconstructed, module common projective transformations and the point correspondence problem is solved. Furthermore, the algorithm is independent of the choice of coordinates, as it is based on orthogonal projections and aligning subspaces. The algorithm is based on an extension of afine shape of finite point configurations to more general objects.