Fotini Fotopoulou

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A novel method for shape analysis and similarity measurement is introduced based on a time series matching approach. It applies to shapes represented through one-dimensional signals and has as objectives to utilize efficiently the provided information and to optimize the shape matching process. The new technique is tested on boundaries from leaf images,(More)
In this paper, the shape decomposition problem is addressed as a solution of an appropriately constrained Nonnegative Matrix Fac-torization Problem (NMF). Inspired from an idealization of the visibility matrix having a block diagonal form, special requirements while formulating the NMF problem are taken into account. Starting from a contaminated observation(More)
2-D shape recognition and content-based image retrieval using the boundary information as a 1-D time series is a common way of addressing the shape-matching problem. A significant factor for successful object identification is insensitivity to basic shape deformations, such as scaling, shifting, rotation, partial distortions etc. In this paper, a method for(More)
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