Authors:
Carlos González
;
Pascual Castelló
and
Miguel Chover
Affiliation:
Universitat Jaume I, Spain
Keyword(s):
Simplification methods, texture, error metric, edge collapse.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Fundamental Methods and Algorithms
;
Geometric Computing
;
Geometry and Modeling
;
Multi-Resolution Modeling
;
Texture Models, Analysis, and Synthesis
Abstract:
We present an extension of the error metrics used in the simplification methods based on edge collapse operations, which takes into account texture information. Many simplification methods are just based on the geometry of the models, without considering texture information. As a result, the simplified models present highly distorted textures. The metric presented here avoids the early collapse of edges that collide with non-uniform regions of the texture. Detection of these regions is performed by an edge detector method based on Canny. To test the new error metric, a geometric simplification method of our own based on edge collapses was used. It can be observed that simplified models that are generated with this new metric present more realistic results than before. This metric modifies the order of the edge collapses and is very useful for multiresolution models. The computational cost of this metric is negligible in comparison to the simplification time.