A minimal variance reconstruction scheme is derived using derivatives of the Gaussian as filters. A closed form mixed correlation matrix for reconstructions from multiscale points and their local derivatives up to the second order is presented. With the inverse of this mixed correlation matrix, a reconstruction of the image can be easily calculated.Some interesting results of reconstructions from multiscale critical points are presented. The influence of limited calculation precision is considered, using the condition number of the mixed correlation matrix.
|Title of host publication||Proceedings of the International Conference on Scale-Space Methods in Computer Vision, 10-12 June 2003, Isle of Skye, UK|
|Editors||L.D. Griffin, M. Lillholm|
|Place of Publication||Berlin|
|Number of pages||15|
|Publication status||Published - 2003|
|Name||Lecture Notes in Computer Science|