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- Polychronis Manousopoulos, Michalis Michalopoulos
- European Journal of Operational Research
- 2009

- Polychronis Manousopoulos, Vassileios Drakopoulos, Theoharis Theoharis
- Trans. Computational Science
- 2008

Fractal interpolation provides an efficient way to describe data that have an irregular or self-similar structure. Fractal interpolation literature focuses mainly on functions, i.e. on data points linearly ordered with respect to their abscissa. In practice, however, it is often useful to model curves as well as functions using fractal intepolation… (More)

- Polychronis Manousopoulos, Vassileios Drakopoulos, Theoharis Theoharis
- J. Computational Applied Mathematics
- 2009

Active Shape Models often require a considerable number of training samples and landmark points on each sample, in order to be efficient in practice. We introduce the Fractal Active Shape Models, an extension of Active Shape Models using fractal interpolation, in order to surmount these limitations. They require a considerably smaller number of landmark… (More)

- Polychronis Manousopoulos, Vassileios Drakopoulos, Theoharis Theoharis
- Eurographics
- 2008

- Vassileios Drakopoulos, Polychronis Manousopoulos
- I. J. Bifurcation and Chaos
- 2012

- Polychronis Manousopoulos, Vassileios Drakopoulos, Theoharis Theoharis
- Journal of Mathematical Imaging and Vision
- 2010

Recurrent fractal interpolation functions are very useful in modelling irregular (non-smooth) data. Two methods that use bounding volumes and one that uses the concept of box-counting dimension are introduced for the identification of the vertical scaling factors of such functions. The first two minimize the area of the symmetric difference between the… (More)

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