Talks and Poster Presentations (with Proceedings-Entry):
S. Biasotti, A. Cerri, D. Giorgi:
"Robustness and modularity of 2-dimensional size functions";
Talk: CAIP 2011 - 14th International Conference on Computer Analysis of Images and Patterns,
- 2011-08-31; in: "CAIP 2011 - 14th International Conference on Computer Analysis of Images and Patterns",
Proc. CAIP 2011 - 14th International Conference on Computer Analysis of Images and Patterns, LNCS 6854, Ainhoa Berciano et al. Eds./Springer,
This paper deals with the concepts of 2-dimensional size function and 2-dimensional matching distance. These are two ingredients of (2-dimensional) Size Theory, a geometrical/topological approach to shape analysis and comparison. 2-dimensional size functions are shape descriptors providing a signature of the shapes under study, while the
2-dimensional distance is the tool to compare them. The aim of the present paper is to validate, through some experiments on 3D-models, a computational framework recently introduced to deal with 2-dimensional Size Theory. We will show that the cited framework is modular and robust with respect to noise, non-rigid and non-metric-preserving shape transformations. The proposed framework allows us to improve the ability of 2-dimensional size functions in discriminating between shapes.
Created from the Publication Database of the Vienna University of Technology.