Minimum Description Length Shape Model Based on Elliptic Fourier Descriptors
This paper provides the construction of statistical shape model based on elliptic Fourier transformation and minimum description length (MDL). The method does not require manual identification of landmarks on training shapes. Each training shapes can be decomposed into a set of ellipse by elliptic Fourier transformation at a different frequency level. The MDL objective function is based on elliptic Fourier descriptors and principal component analysis (EF-PCA). Experiments show that our method can get better models.
KeywordsMinimum Description Length Statistical Shape Model Shape Vector British Machine Vision Training Shape
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- 4.Thodberg, H.H., Olafsdottir, H.: Adding Curvature to Minimum Description Length Shape Models. In: 14th British Machine Vision Conference, vol. 2, pp. 251–260 (2003)Google Scholar
- 6.Coootes, T.F., Tayor, C.J., Cooper, D., Graham, J.: Training Models of Shape from Sets of Examples. In: 3rd British Machine Vision Conference, pp. 9–18. Springer, Heidelberg (1992)Google Scholar