Title :
Three-dimensional shape representation from curvature dependent surface evolution
Author :
Neskovic, Predrag ; Kimia, Benjamin B.
Author_Institution :
Div. of Eng., Brown Univ., Providence, RI, USA
Abstract :
This paper presents a novel approach to surface representation based on its differential deformations. The evolution of an arbitrary curve by curvature deforms it to a round point while in the process simplifying it. Similarly, we seek a process that deforms an arbitrary surface into a sphere without developing self-intersections, in the process creating a sequence of increasingly simpler surfaces. No previously studied curvature dependent flow satisfies this requirement: mean curvature flow leads to a splitting of the surface, while Gaussian curvature flow leads to instabilities. Thus, in search for such a process, we impose constraints (motivated by visual representation) to narrow down the space of candidate flows. Our main result is to establish a direction for the movement of points to avoid self-intersections: (1) convex elliptic points should move in, while concave elliptic points move out; and (2) hyperbolic and parabolic points should not move at all. Accordingly, we propose ∂ψ/∂t=sign(H)√(G+|G|)N&oarr;; informally, the direction depends on mean curvature and the magnitude of deformation on Gaussian curvature. Our numerical simulations show that for a large class of non-convex surfaces this deformation has desired properties, leading to a geometric smoothing scheme for 2D and 3D images
Keywords :
image representation; smoothing methods; 2D images; 3D images; Gaussian curvature; Gaussian curvature flow; concave elliptic points; convex elliptic points; curvature dependent flow; curvature dependent surface evolution; deformation magnitude; differential deformations; geometric smoothing scheme; hyperbolic points; mean curvature; mean curvature flow; non-convex surfaces; numerical simulations; parabolic points; sphere; surface representation; three-dimensional shape representation; visual representation; Deformable models; Geometry; Graphics; Laboratories; Magnetic resonance imaging; Shape; Smoothing methods; Spirals; Systems engineering and theory; Topology;
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
DOI :
10.1109/ICIP.1994.413264