14th International Conference on Image Analysis and Processing (ICIAP 2007) k-dimensional Size Functions for Shape Description and Comparison Modena, Italy September 10-September 14 ISBN: 0-7695-2877-5
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICIAP.2007.83
This paper advises the use of k-dimensional size functions for comparison and retrieval in the context of multidimensional shapes, where by shape we mean something in two or higher dimensions having a visual appearance. The attractive feature of k-dimensional size functions is that they allow to readily establish a similarity measure between shapes of arbitrary dimension, taking into account different properties expressed by a multivalued real function defined on the shape. In particular, we outline the potential of this approach in a series of experiments.
Citation:
Andrea Cerri, Silvia Biasotti, Daniela Giorgi, "k-dimensional Size Functions for Shape Description and Comparison," iciap, pp.795-800, 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||