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Tag Archives: Lagrange multipliers
Vanishing points in presence of noise
Most selfcalibration algorithms require a prior knowledge of the camera calibration matrix ; as an instance, you need it to normalize the image points as and therefore fit the essential matrix . With most commercial cameras it is safe to … Continue reading
Posted in Uncategorized
Tagged Alciatore and Miranda, calibration matrix, computer vision, constrained minimum, essential matrix, fitting, focal length, image of the absolute conic, Lagrange multipliers, lagrangian, least squares, noise, nonlinear regression, outlier, pixel pitch, principal point, RANSAC, vanishing point
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Playing with lagrangian mechanics
The principle of least action states that the path followed in time by a physical system subject to conservative forces is such to minimize (or, more generally, make stationary) the action , where the lagrangian is the difference between kinetic … Continue reading