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Finding the Collineation between Two Projective Reconstructions

โœ Scribed by Gabriella Csurka; David Demirdjian; Radu Horaud


Book ID
102567613
Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
164 KB
Volume
75
Category
Article
ISSN
1077-3142

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โœฆ Synopsis


The problem of finding the collineation between two 3D projective reconstructions has been proved to be useful for a variety of tasks such as calibration of a stereo rig and 3D affine and/or Euclidean reconstruction. Moreover, such a collineation may well be viewed as a point transfer method between two image pairs with applications to visually guided robot control. Despite this potential, methods for properly estimating such a projective transformation have received little attention in the past. In this paper we describe linear, nonlinear, and robust methods for estimating this transformation. We test the numerical stability of these methods with respect to image noise, to the number of matched points, and as a function of the number of outliers. Finally, we devise a specialized technique for the case where 3D Euclidean coordinates are provided for a number of control points.


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3D Structure Reconstruction from Point C
โœ A. Kara; D.M. Wilkes; K. Kawamura ๐Ÿ“‚ Article ๐Ÿ“… 1994 ๐Ÿ› Elsevier Science โš– 452 KB

An iterative algorithm for 3D structure reconstruction from two perspective projections is proposed. The basis of the method is the eight-point algorithm (Longuet-Higgins, Nature 293(10), 1981, 133-135; Tsai and Huang, IEEE Trans. PAMI 6, 1984, 13-27). A drawback of the eight-point algorithm is that