DocumentCode :
312532
Title :
Boundary segmentation and model fitting using affine active surface model
Author :
Keun Kim, Dong ; Jung Hwang, Chi
Author_Institution :
Dept. of Comput. Sci. & Inf., SeoNam Univ., Chonbuk, South Korea
Volume :
1
fYear :
1996
fDate :
26-29 Nov 1996
Firstpage :
147
Abstract :
We propose an active surface model which is controlled by an affine transformation. Our proposed algorithm is insensitive to the initial position and has benefit to fitting and tracking the boundary of deformable objects. The active surfaces initialized, and minimized by the previous variational methods using the finite difference. Then affine deformations between deformed surface and predeformed surface is calculated by the deterministic least square fits using the corresponding points. Our proposed algorithm is applied to the synthetic binary data points using an ellipsoid as initial surfaces and the results are also presented
Keywords :
edge detection; finite difference methods; image segmentation; least squares approximations; surface fitting; tracking; variational techniques; affine active surface model; affine deformations; algorithm; boundary segmentation; corresponding points; deformable objects; deformed surface; deterministic least square fits; ellipsoid; finite difference; initial surfaces; model fitting; predeformed surface; synthetic binary data points; tracking; variational methods; Active contours; Active shape model; Computer science; Deformable models; Ellipsoids; Force control; Image segmentation; Least squares methods; Shape control; Surface fitting;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications
Conference_Location :
Perth, WA
Print_ISBN :
0-7803-3679-8
Type :
conf
DOI :
10.1109/TENCON.1996.608738
Filename :
608738
Link To Document :
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