Shape recognition of geometric models described by triangular meshes is affected by some problems which made it difficult to be performed without errors. Some factors, such as the location errors of points due to acquisition process and the coarse representation of continuous surfaces due to triangular approximation, introduce uncertainty in the recognition process of the geometric shape. This paper introduces some original fuzzy sets suited to recognize geometric form. The membership functions of the fuzzy sets are dynamically defined so that they can be adapted to take into account those properties of the geometric model that affect the uncertainty of the recognition process. The proposed approach is intrinsically very robust and achieves good results also in recognising form features in geometric models affected by point location errors.
Fuzzy sets for geometric shape recognition in triangular meshes
MORABITO, Anna
2007-01-01
Abstract
Shape recognition of geometric models described by triangular meshes is affected by some problems which made it difficult to be performed without errors. Some factors, such as the location errors of points due to acquisition process and the coarse representation of continuous surfaces due to triangular approximation, introduce uncertainty in the recognition process of the geometric shape. This paper introduces some original fuzzy sets suited to recognize geometric form. The membership functions of the fuzzy sets are dynamically defined so that they can be adapted to take into account those properties of the geometric model that affect the uncertainty of the recognition process. The proposed approach is intrinsically very robust and achieves good results also in recognising form features in geometric models affected by point location errors.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
