Konversatorium on Friday, May 17, 2019 - 10:30
Unraveled Skeletons (DAEV)
A new shape representation called Unraveled Skeleton is presented. It is designed to be robust to a large number of transformations, especially articulated movement. Based on this new representation, its general properties are discussed and its application domain established. The representation is based on the skeleton or medial axis of a shape. It uses the very robust Voronoi skeletonization and "walks" around the resulting skeleton tree. At every
point the minimum distance to the boundary is saved to a vector, resulting in a list of distance measures, a shape signature. This Unraveled Skeleton vector can then be used for further processing like normalization.
Furthermore, two possible directions to use the Unraveled Skeletons are explored: Shape analysis and pose independent coordinate systems. In shape analysis the Unraveled Skeleton vector can be used for articulation independent recognition. For this purpose a number of
different normalization and optimization techniques are introduced. It is also possible to use parts of the vector to match parts of objects. The pose independent coordinate system assigns every point inside the shape and on its boundary a unique coordinate independent of pose or
articulated movement. Using the closest points on the skeleton and its distance as provided by the Unraveled Skeleton one can address convex patches. Given a third component to chose a point from this patch a coordinate with three components is introduced. Possibilities of non-centered skeletons in regard to Unraveled Skeleton coordinates are explored.