The Statistical Theory of Shape by Christopher G. SmallEnglish | PDF | 1996 | 237 Pages | ISBN : 0387947299 | 24.6 MB
In general terms, the shape of an object, data set, or image can be deĀ fined as the total of all information that is invariant under translations, rotations, and isotropic rescalings. Thus two objects can be said to have the same shape if they are similar in the sense of Euclidean geometry. For example, all equilateral triangles have the same shape, and so do all cubes. In applications, bodies rarely have exactly the same shape within measureĀ ment error.