Contour Registration Based on Multi-Expression Programming and the Improved ICP

A novel contour registration method based on multiple-expression programming (MEP)and the improved iterative closest point (ICP) is presented. Firstly, based on the fast global minimization of the active contour model, the image contours were extracted. The feature points were obtained by means of t...

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Veröffentlicht in:2009 International Symposium on Computer Network and Multimedia Technology S. 1 - 4
Hauptverfasser: Wang Yanan, Yang Bo, Zhao Xiuyang
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.12.2009
Schlagworte:
Active contours
Computer science
Data mining
Feature extraction
Genetic algorithms
Image registration
Information science
Iterative closest point algorithm
Optimization methods
Sampling methods
ISBN:9781424452729, 1424452724
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Abstract A novel contour registration method based on multiple-expression programming (MEP)and the improved iterative closest point (ICP) is presented. Firstly, based on the fast global minimization of the active contour model, the image contours were extracted. The feature points were obtained by means of the centroid balance sampling method. Secondly, traditional ICP method which is liable to trap in local minimum value was improved by the genetic algorithm. The feature points were matched by the improved ICP. Finally, the registration model was established automatically using MEP.The experiment results show that the improved ICP can obtain the optimum feature point-pair set and the registration method presented in this paper is efficient and accurate.
AbstractList A novel contour registration method based on multiple-expression programming (MEP)and the improved iterative closest point (ICP) is presented. Firstly, based on the fast global minimization of the active contour model, the image contours were extracted. The feature points were obtained by means of the centroid balance sampling method. Secondly, traditional ICP method which is liable to trap in local minimum value was improved by the genetic algorithm. The feature points were matched by the improved ICP. Finally, the registration model was established automatically using MEP.The experiment results show that the improved ICP can obtain the optimum feature point-pair set and the registration method presented in this paper is efficient and accurate.
Author Zhao Xiuyang
Yang Bo
Wang Yanan
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  surname: Wang Yanan
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  organization: Sch. of Inf. Sci. & Eng., Univ. of Jinan, Jinan, China
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  surname: Yang Bo
  fullname: Yang Bo
  organization: Sch. of Inf. Sci. & Eng., Univ. of Jinan, Jinan, China
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  surname: Zhao Xiuyang
  fullname: Zhao Xiuyang
  organization: Sch. of Inf. Sci. & Eng., Univ. of Jinan, Jinan, China
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Snippet A novel contour registration method based on multiple-expression programming (MEP)and the improved iterative closest point (ICP) is presented. Firstly, based...
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SubjectTerms Active contours
Computer science
Data mining
Feature extraction
Genetic algorithms
Image registration
Information science
Iterative closest point algorithm
Optimization methods
Sampling methods
Title Contour Registration Based on Multi-Expression Programming and the Improved ICP
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