In this presentation, the concepts of differential geometry traditionally applied to the segmentation of range maps is revisited in the context of implicit surface representation of unorganized point clouds. We proposed an approach to demonstrate that it is possible to combine covariance-based differential geometry and implicit surface representation methods to perform the segmentation of an unorganized point cloud (and not just a range map) into different surface types. The advantages of combining covariance-based differential geometry and implicit surface representation are that the segmentation does not require surface fitting nor does it require that all points be processed, thus reducing computational complexity. The acquisition of the point cloud data is achieved with handheld scanners used in metrology applications.

La présentation sera donnée en anglais et les diapos seront en anglais.

Rencontre Zoom
Pour obtenir le lien d'accès internet pour la rencontre Zoom, SVP contacter:
Annette.Schwerdtfeger@gel.ulaval.ca