Generic Attribute Deviation Metric for Assessing Mesh Simplification Algorithm Quality

Michael Roy (1) , Sebti Foufou (2) , Frederic Truchetet (1)

1 Le2i - Laboratoire Electronique, Informatique et Image [UMR6306]
2 CSE Department, College of Engineering, Qatar University, PO BOX 2713, Doha, Qatar

This paper describes an efficient method to compare two triangular meshes. Meshes considered here contain geometric features as well as other surface attributes such as material colors, texture, temperature, radiation, etc. Two deviation measurements are presented to assess the differences between two meshes. The first measurement, called geometric deviation, returns geometric differences. The second measurement , called attribute deviation, returns attribute differences regardless of the attribute type. In this paper we present an application of this method to the Mesh Simplification Algorithm (MSA) quality assessment according to the appearance attributes. This assessment allows the appreciation of local quality and the computation of global quality statistics of a simplified mesh.

Domaines: Géométrie algorithmique [cs.CG]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Synthèse d'image et réalité virtuelle [cs.GR]

Michael Roy, Sebti Foufou, Frederic Truchetet. Generic Attribute Deviation Metric for Assessing Mesh Simplification Algorithm Quality. IEEE International Conference on Image Processing (ICIP'02), Sep 2002, Rochester, United States. ⟨hal-01938350⟩