Shape analysis deals with the information in a configuration of k points in m dimensions that is invariant under a certain group of transformations. The most developed version is similarity shape analysis which deals with properties invariant under translation, scaling and rotation. Another version is projective shape analysis which deals with information invariant under different camera views of a scene. Building on a recent standardized representation for a projective shape, this project will develop new statistical methods to analyze such scenes.
School of Mathematics Doctoral Training Grant (DTG) awards (variable number and open to European/UK Students Only)