Scale space tracking and deformable sheet models for computationalvision
Whitten, G.
Martin Marietta Lab., Balitmore, MD;
This paper appears in: Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publication Date: Jul 1993
Volume: 15,
Issue: 7
On page(s): 697-706
ISSN: 0162-8828
References Cited: 21
CODEN: ITPIDJ
INSPEC Accession Number: 4465236
Digital Object Identifier: 10.1109/34.221170
Current Version Published: 2002-08-06
Abstract
The deformable sheet, a physical model that provides a natural
framework for addressing many vision problems that can be solved by
smoothness-constrained optimization, is described. Deformable sheets are
characterized by a global energy functional, and the smoothness
constraint is represented by a linear internal energy term. Analogous to
physical sheets, the model sheets are deformed by problem-specific
external forces and, in turn, impose smoothness on the applied forces.
The model unifies the properties of scale and smoothness into a single
parameter that makes it possible to perform scale space tracking by
properly controlling the smoothness constraint. Specifically, the
desired scale space trajectory is found by solving a differential
equation in scale. The simple analytic dependence on scale also provides
a mechanism for adaptive step size control. Results from application of
the deformable sheet model to various problems in computational vision
are presented
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