New Challenges in the Statistical Shape Analysis

New Challenges in the Statistical Shape Analysis

The statistical shape analysis is dealing with the geometrical data, (information) in which the orientation, location and scale of the objects are not of any interest. These typical data are known as non-linear statistics (or also manifold valued statistics). In the traditional view to the statistical shape analysis, the landmarks, usually setting on the outline of the objects, are key for further analysis. Recent advances in technology has ability to capture as many information as possible. Such as closed-curves and contour paths from the various types of object including free-object, dynamic objects and so on. However, these force the statistical shape analysis to encounter with new challenges. In this paper, through some real life examples, some of the such problems and also possible approaches to treat them will be discussed