A Unified Framework for Shape Segmentation, Representation, and Recognition

R. Malladi, James A. Sethian · CERN Document Server (European Organization for Nuclear Research) · 1994

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Type: article
Published: 1994-08-01
Cited by: 9
References: 0
Access: Open access
OpenAlex: https://openalex.org/W1544902043
Semantic Scholar: https://api.semanticscholar.org/CorpusID:60845147

Keywords

Representation (politics), Segmentation, Artificial intelligence, Computer science, Computer vision

References

No references recorded for this paper.

Cited by

Global Minimum for Active Contour Models: A Minimal Path ApproachLaurent D. Cohen, Ron Kimmel — 1996
Interactive GPU-based “Visulation” and Structure Analysis of 3-D Implicit Surfaces for Seismic InterpretationBenjamin J. Kadlec — 2010
Non-rigid registration using distance functionsNikos Paragios, Mikaël Rousson, Visvanathan Ramesh — 2003
Shape Modeling with Front Propagation: A Level Set ApproachR. Malladi, James A. Sethian, Baba C. Vemuri — 1995
Planar shape enhancement and exaggerationAmi Steiner, Ron Kimmel, A.M. Brruckstein — 1996
Planar Shape Enhancement and ExaggerationAmi Steiner, Ron Kimmel, Alfred M. Bruckstein⋆ — 1998
Chapter 1 Image Smoothing and Restoration by Pdes 1.1.2 Foundations of Linear Diiusion Ltering Equivalence to Linear Diiusion Ltering Gaussian Derivatives 1.1.3 Scale-space Properties Gaussian Scale-space Chapter 1. Partial Differential Equations 1.1.4 Numerical Aspects 1.2 Nonlinear Diiusion Lterin
Matching Distance Functions: A Shape-to-Area Variational Approach for Global-to-Local RegistrationN. Paragios, Mikaël Rousson, Visvanathan Ramesh — 2002
Level Set Techniques for Tracking Interfaces ; Fast Algorithms , Multiple Regions , Grid Generation , and Shape / Character RecognitionJ. Sethian — 2006
Edge Integration Using MinimalG. Cohen, R. Kimmel — 1995

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