Better Global Polynomial Approximation for Image Rectification

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.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.identifier.uri	https://hdl.handle.net/2139/5463
dc.identifier.uri	http://arxiv.org/abs/0904.3944	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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