6533b85bfe1ef96bd12bb22f
RESEARCH PRODUCT
Comparison and multiresolution analysis of irregular meshes with appearance attributes
Roy Michaelsubject
Appearance attributesIrregular meshes[INFO.INFO-GR] Computer Science [cs]/Graphics [cs.GR][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]analyse multirésolutionattributs d’apparenceMesh comparisondébruitage adaptatif[INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG][INFO.INFO-GR]Computer Science [cs]/Graphics [cs.GR][INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CG] Computer Science [cs]/Computational Geometry [cs.CG]visualisation dépendante des détailscomparaison de maillagesMultiresolution analysismaillages irréguliersdescription
We present in this dissertation a method to compare and to analyse irregular meshes with appearance attributes. First, we propose a mesh comparison method using a new attribute deviation metric. Considered meshes contain geometric and appearance attributes (e.g. color, texture,temperature). The proposed deviation assessment allows the computation of local attribute differences between two meshes. We present an application of this method to mesh simplification algorithm quality assessment.Then we propose two multiresolution analysis schemes for irregular meshes with appearance attributes. First, a mesh is decomposed in a discret number of levels of detail. We introduce a surface geometry relaxation operator, and we generalize it to the attributes such as colors or normals. This surface attribute relaxation is used to compute the detail coefficients for any data attached to the mesh. We show the efficiency of our framework through a number of applications including detail-dependent visualization and adaptive denoising of real data models.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2004-12-16 |