Rotation-invariant Picture Matching based on Autoregressive Model of Orientation Histogram.

Rotation Invariant Template Matching

In rotation invariant template matching one wants to find finding from the given input image the locations that are similar to the given pattern template, so that the pattern may have any orientation. Template matching is an old but important problem in computer vision and pattern recognition, and thus there have also been many attempts to solve it. Most of the most succesful solutions so far c...

mortality forecasting based on lee-carter model

over the past decades a number of approaches have been applied for forecasting mortality. in 1992, a new method for long-run forecast of the level and age pattern of mortality was published by lee and carter. this method was welcomed by many authors so it was extended through a wider class of generalized, parametric and nonlinear model. this model represents one of the most influential recent d...

Using Orientation Code Difference Histogram (OCDH) for Robust Rotation-invariant Search

An Envelope-Based Approach to Rotation-Invariant Boundary Image Matching

The original conference version of this paper mischaracterizes the contributions of the current authors, relative to the contributions of Keogh et al. [11, 12]. We would like to take this opportunity to correct this in this online version, which should be considered the official version of this work.) Boundary image matching identifies similar boundary images using their corresponding time-seri...

Exemplar-based inpainting with rotation invariant patch matching

In this paper, we propose a novel approach to patch matching in exemplar-based inpainting. Our field of concern is movie restoration, particularly scratch concealment. Here we want to focus on a single frame (still image) inpainting. Exemplar-based approach uses patches from the known areas and copies their content to the damaged area. In case of irregular texture, there might be no patches ava...