Paper Info
Title
Generic attribute deviation metric for assessing mesh simplification algorithm quality
Abstract
This paper describes an efficient method to compare two tri- angular 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 be- tween two meshes. The first measurement, called geometric deviation, returns geometric differences. The second mea- surement, called attribute deviation, returns attribute dif- ferences regardless of the attribute type. In this paper we present an application of this method to the Mesh Simpli- fication Algorithm (MSA) quality assessment according to the appearance attributes. This assessment allows the appre- ciation of local quality and the computation of global qual- ity statistics of a simplified mesh.
Year
DOI
Venue
2002
10.1109/ICIP.2002.1039097
Image Processing. 2002. Proceedings. 2002 International Conference  
Keywords
Field
DocType
computational geometry,feature extraction,image colour analysis,image representation,attribute deviation,attribute differences,deviation measurements,generic attribute deviation metric,geometric deviation,geometric differences,geometric features,global quality statistics,image representation,material colors,mesh simplification algorithm quality,radiation,reverse engineering,surface attributes,temperature,texture,triangular meshes
Polygon mesh,Computer science,Computational geometry,Artificial intelligence,Computer graphics,Computation,Computer vision,Numerical models,Pattern recognition,Reverse engineering,Algorithm,Feature extraction,Solid modeling
Conference
Volume
ISSN
Citations 
3
1522-4880
4
PageRank 
References 
Authors
0.51
13
3
Name
Order
Citations
PageRank
Michaël Roy1383.49
Sebti Foufou238854.58
Frédéric Truchetet312118.97