Tag Archives: constrained minimum

Vanishing points in presence of noise

Most self-calibration 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

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Constrained homography

When matching two images, say L and R, of the same scene from different perspectives, sometimes it is useful to assume that the images are related by a homography, either because the observed object is planar, or because the images … Continue reading

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Lagrangian rejection and fitting/2

Summarizing the previous article: we have a set of samples, mostly affected by errors having a Gaussian distribution. Zero or more of the samples may be outliers, that is affected by exceptional errors which do not fit in the Gaussian … Continue reading

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