Better Global Polynomial Approximation for Image Rectification

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dc.contributor.author Ward, Christopher
dc.date.accessioned 2009-11-10T15:41:40Z
dc.date.available 2009-11-10T15:41:40Z
dc.date.issued 2009-11-10T15:41:40Z
dc.identifier.uri http://hdl.handle.net/2139/5463
dc.identifier.uri http://arxiv.org/abs/0904.3944 en
dc.description.abstract When using images to locate objects, there is the problem of correcting for distortion and misalignment in the images. An elegant way of solving this problem is to generate an error correcting function that maps points in an image to their corrected locations. We generate such a function by fitting a polynomial to a set of sample points. The objective is to identify a polynomial that passes "sufficiently close" to these points with "good" approximation of intermediate points. In the past, it has been difficult to achieve good global polynomial approximation using only sample points. We report on the development of a global polynomial approximation algorithm for solving this problem. en
dc.language.iso en en
dc.subject Polynomial approximation en
dc.subject Interpolation en
dc.subject Image rectification en
dc.title Better Global Polynomial Approximation for Image Rectification en
dc.type Article en


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