Exploring 3D shapes through shape descriptors
by
Silvia Biasotti
CNR-IMATI-GE

During last decades, technological advances in terms of hardware and software have made available a huge amount of data and there is a increasing request of tools able manipulate, retrieve and code this information.

In the Shape Modelling context, experimental results in cognitive research have shown that people when interpreting the meaning of a novel scene, attend only to a few details and recognize an object on the basis of basic level shapes.

In this context, mathematics naturally provides a formal framework able to eliminate and discard insignificant information and to keep in mind what is more significant. Then, mathematics-based descriptions may become a starting point to define representation frameworks available for graphics and design.

In this talk, we discuss how to define a conceptual framework for digital shape description able to combine topological and geometrical properties of the shape and give an abstraction of the main shape features. Main emphasis is devoted to the application of this framework in computational settings; to this aim we display a number of application domains that span from shape retrieval, to shape classification and best view selection.

Date received: March 28, 2008

Copyright © 2008 by the author(s). The author(s) of this document and the organizers of the conference have granted their consent to include this abstract in Atlas Conferences Inc. Document # cawz-95.