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Computer Vision November 2002 L1.1© 2002 by Davi Geiger
Symmetry Axis
Stretching
Occlusion Articulation
Stretching
Symmetry Axis
Computer Vision November 2002 L1.3© 2002 by Davi Geiger
A variational shape representation model based
on self-similarity of shapes.
For each shape contour, first compute its shape axis then derive a unique shape-axis-tree (SA-tree) or shape-axis-forest (SA-forest) representation.
Shape Axis (SA) SA-TreeShape Contour
Shape Representation via Self-Similaritywork of Liu, Kohn and Geiger
Computer Vision November 2002 L1.4© 2002 by Davi Geiger
Use Use twotwo different parameterizations to compute the different parameterizations to compute the represention of a shape.represention of a shape.
Construct a cost functional to measure the Construct a cost functional to measure the goodnessgoodness of a match between the two parameterizations.of a match between the two parameterizations.
The cost functional is decided by the self-similarity The cost functional is decided by the self-similarity criteria.criteria.
Useful self-similarity criteria include Useful self-similarity criteria include symmetrysymmetry, , parallelismparallelism (translation), (translation), convexityconvexity and and distancedistance..
The Insight
1),(|2
)(~)(ts
txsx counterclockwise clockwise
Computer Vision November 2002 L1.5© 2002 by Davi Geiger
Two different parameterizations:Two different parameterizations:
counterclockwisecounterclockwise
clockwiseclockwise
withwith
When the curve is closed we haveWhen the curve is closed we have
Parameterized Shapes
}10:)({1 ssx
}10:)(~{2 ttx
)1()(~ txtx
(1)x~(0)x~ and )1()0( xx
Computer Vision November 2002 L1.6© 2002 by Davi Geiger
Cost Functional/Energy Density
dF
stE
JumpCost )()similarity-self(
))(),((1
0
Co-Circularity
Computer Vision November 2002 L1.7© 2002 by Davi Geiger
Structural propertiesStructural propertieso SymmetricSymmetric
Geometrical propertiesGeometrical propertieso Translation invariantTranslation invarianto Rotation invariantRotation invariant
Self-Similarity propertiesSelf-Similarity properties
Cost Functional/Energy Density
Computer Vision November 2002 L1.10© 2002 by Davi Geiger
Experimental Results for Closed Shapes
Shape Axis
SA-Tree
Shape
Computer Vision November 2002 L1.11© 2002 by Davi Geiger
Experimental Results for Open Shapes
Shape Axis (SA)
SA-Tree
Shape
Computer Vision November 2002 L1.12© 2002 by Davi Geiger
Shape Axis (SA)
SA-Forest
Experimental Results for Open Shapes
Computer Vision November 2002 L1.13© 2002 by Davi Geiger
Matching Trees with deletions and merges for articulation and occlusions