A deformable template model based on fuzzy alignment algorithm

Z. Xue, Dinggang Shen, E. K. Teoh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

A deformable template model for object extraction is proposed based on the fuzzy alignment algorithm (FAA). This object matching algorithm is partitioned into two iterative processes, the first is to estimate the pose relationship (point correspondence and transform parameters) between the current template and the prototype using FAA, the second is to adjust the current template under the exertion of internal energy and external energy functions. An affine-invariant internal energy function of the deformable template is utilized to deal with the transformation of the templates between different domains. Comparative studies with G-Snake model demonstrate the effectiveness of the proposed algorithm and show that it outperforms G-Snake in matching objects with large shearing of shapes.

Original languageEnglish
Title of host publicationIEEE International Conference on Image Processing
Pages296-299
Number of pages4
Volume1
Publication statusPublished - 2000 Dec 1
Externally publishedYes
EventInternational Conference on Image Processing (ICIP 2000) - Vancouver, BC, Canada
Duration: 2000 Sep 102000 Sep 13

Other

OtherInternational Conference on Image Processing (ICIP 2000)
CountryCanada
CityVancouver, BC
Period00/9/1000/9/13

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ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Hardware and Architecture
  • Electrical and Electronic Engineering

Cite this

Xue, Z., Shen, D., & Teoh, E. K. (2000). A deformable template model based on fuzzy alignment algorithm. In IEEE International Conference on Image Processing (Vol. 1, pp. 296-299)

A deformable template model based on fuzzy alignment algorithm. / Xue, Z.; Shen, Dinggang; Teoh, E. K.

IEEE International Conference on Image Processing. Vol. 1 2000. p. 296-299.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Xue, Z, Shen, D & Teoh, EK 2000, A deformable template model based on fuzzy alignment algorithm. in IEEE International Conference on Image Processing. vol. 1, pp. 296-299, International Conference on Image Processing (ICIP 2000), Vancouver, BC, Canada, 00/9/10.
Xue Z, Shen D, Teoh EK. A deformable template model based on fuzzy alignment algorithm. In IEEE International Conference on Image Processing. Vol. 1. 2000. p. 296-299
Xue, Z. ; Shen, Dinggang ; Teoh, E. K. / A deformable template model based on fuzzy alignment algorithm. IEEE International Conference on Image Processing. Vol. 1 2000. pp. 296-299
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