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Main | Mathematical Models in Computer Vision: The Handbook, Springer (2005) | ||
Editors Preface Contents Contributors References Sample Chapter Order |
ABSTRACT: Shapes of boundaries can play an
important role in characterizing objects in images. We describe an
approach for statistical analysis of shapes of closed curves using
ideas from differential geometry. A fundamental tool in this shape
analysis is the construction and implementation of geodesic paths
between shapes. We use geodesic paths to accomplish a variety of tasks,
including the definition of a metric to compare shapes, the computation
of intrinsic statistics for a set of shapes, and the definition of
probability models on shape spaces. We demonstrate this approach using
three applications: (i) automated clustering of objects in an image
database according to their shapes, (ii) interpolation of heart-wall
boundaries in echocardiographic image sequences, and (iii) a study of
shapes of human silhouettes in infrared surveillance images.
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Last Update: December20th,
2004, you can mail your comments to: nikos.paragios@computer.org
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