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Tag Archives: singular value decomposition
Reconstruction of 3D points from images in a calibrated binocular system
In a binocular system one can write and where is an object point in homogeneous coordinates in mm (*), and are its image points in homogeneous coordinates in pixels, and are the projection matrices of the two cameras, and are … Continue reading
Constrained optimization without lagrangian multipliers
There is an obvious alternative to using lagrangian multipliers for constrained optimization: reformulate the problem in the subspace of constraints and it becomes automatically a non constrained problem. It is not always obvious, though, how one can do so in … Continue reading
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Tagged constraint subspace, least squares, optimization, plane, point, singular value decomposition, SVD
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