画像補正のための高精度な大域多項式近似
Better Global Polynomial Approximation for Image Rectification
画像の歪みや位置ずれを補正するため、サンプル点に多項式をフィットさせ、中間点も良好に近似できる大域多項式近似アルゴリズムを開発した。
分類: cs.CV, cs.RO
原文アブストラクト
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. Key Words: Polynomial approximation, interpolation, image rectification.
