In this paper, we propose an algorithm for doing reconstruction of general 3D-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, modulo 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 affine shape of finite point configurations to more general objects.
|Title of host publication||[Host publication title missing]|
|Publisher||IEEE - Institute of Electrical and Electronics Engineers Inc.|
|Publication status||Published - 1997|
|Event||IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997 - San Juan, Puerto Rico|
Duration: 1997 Jun 17 → 1997 Jun 19
|Conference||IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 1997|
|Period||1997/06/17 → 1997/06/19|