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A Fast Level Set Based Algorithm for Topology-independent Shape Modeling by Ravikanth Malladi; James A. Sethian; Baba C. Vemuri is a Computer Science article available to read on EtoBox.

What is A Fast Level Set Based Algorithm for Topology-independent Shape Modeling about?

Shape modeling is an important constituent of computer vision as well as computer graphics research. Shape models aid the tasks of object representation and recognition. This paper presents a new approach to shape modeling which retains some of the attractive features of existing methods, and overcomes some of their limitations. Our technique can be applied to model arbitrarily complex shapes, which include shapes with significant protrusions, and to situations where no apriori assumption about the object's topology is made. A single instance of our model, when presented with an image having more than one object of interest, has the ability to split freely to represent each object. This method is based on the ideas developed by Osher and Sethian to model propagating solid/liquid interfaces with curvature-dependent speeds. The interface (front) is a closed, nonintersecting, hypersurface flowing along its gradient field with constant speed or a speed that depends on the curvature. It is moved by solving a "Hamilton-Jacobi" type equation written for a function in which the interface is a particular level set. A speed term synthesized from the image is used to stop the interface in the

Who reads A Fast Level Set Based Algorithm for Topology-independent Shape Modeling?

Author

Ravikanth Malladi; James A. Sethian; Baba C. Vemuri

Publisher

Springer US; Springer-Verlag; Kluwer Academic Publishers; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 0924-9907)

Published

1996

Language

EN

Field

Computer Science (Physical Sciences)