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A Solution to The Similarity Registration Problem of Volumetric Shapes

A Solution to The Similarity Registration Problem of Volumetric Shapes
A Solution to The Similarity Registration Problem of Volumetric Shapes
This paper provides a novel solution to the volumetric similarity registration problem usually encountered in statistical study of shapes and shape-based image segmentation. Shapes are implicitly represented
by characteristic functions (CFs). By mapping shapes to a spherical coordinate system, shapes to be registered are projected to unit spheres and thus, rotation and scale parameters can be conveniently calculated.
Translation parameter is computed using standard phase correlation technique. The method goes through intensive tests and is shown to be fast, robust to noise and initial poses, and suitable for a variety of similarity registration problems including shapes with complex structures and various topologies.
343-352
Liu, Wanmu
9e0d3ce3-bc41-4170-940c-0b468cb13d45
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
Havelock, Tom
8f9aa3be-a768-4a7b-bcd4-79656e2b188c
Bennett, Michael
6df5585a-3d93-4870-8797-389759fc82c7
Liu, Wanmu
9e0d3ce3-bc41-4170-940c-0b468cb13d45
Mahmoodi, Sasan
91ca8da4-95dc-4c1e-ac0e-f2c08d6ac7cf
Havelock, Tom
8f9aa3be-a768-4a7b-bcd4-79656e2b188c
Bennett, Michael
6df5585a-3d93-4870-8797-389759fc82c7

Liu, Wanmu, Mahmoodi, Sasan, Havelock, Tom and Bennett, Michael (2013) A Solution to The Similarity Registration Problem of Volumetric Shapes. Lectuer Notes in Computer Science: The 9th International Symposium on Visual Computing. pp. 343-352 .

Record type: Conference or Workshop Item (Paper)

Abstract

This paper provides a novel solution to the volumetric similarity registration problem usually encountered in statistical study of shapes and shape-based image segmentation. Shapes are implicitly represented
by characteristic functions (CFs). By mapping shapes to a spherical coordinate system, shapes to be registered are projected to unit spheres and thus, rotation and scale parameters can be conveniently calculated.
Translation parameter is computed using standard phase correlation technique. The method goes through intensive tests and is shown to be fast, robust to noise and initial poses, and suitable for a variety of similarity registration problems including shapes with complex structures and various topologies.

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e-pub ahead of print date: 29 July 2013
Venue - Dates: Lectuer Notes in Computer Science: The 9th International Symposium on Visual Computing, 2013-07-29
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 354546
URI: http://eprints.soton.ac.uk/id/eprint/354546
PURE UUID: d9d62450-5c47-4c4e-9788-85dd9aeff961

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Date deposited: 15 Jul 2013 09:50
Last modified: 19 Jul 2019 21:32

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