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Resampling Feature and Blend Regions in Polygonal Meshes for Surface Anti‐Aliasing
Author(s) -
Botsch Mario,
Kobbelt Leif
Publication year - 2001
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/1467-8659.00533
Subject(s) - alias , resampling , feature (linguistics) , computer science , polygon mesh , anti aliasing , aliasing , interpolation (computer graphics) , sample (material) , algorithm , artificial intelligence , sampling (signal processing) , surface (topology) , representation (politics) , pattern recognition (psychology) , computer vision , mathematics , computer graphics (images) , geometry , data mining , image (mathematics) , philosophy , filter (signal processing) , law , audio signal , linguistics , chemistry , undersampling , audio signal processing , chromatography , political science , digital signal processing , politics , computer hardware
Efficient surface reconstruction and reverse engineering techniques are usually based on a polygonal mesh representation of the geometry: the resulting models emerge from piecewise linear interpolation of a set of sample points. The quality of the reconstruction not only depends on the number and density of the sample points but also on their alignment to sharp and rounded features of the original geometry. Bad alignment can lead to severe alias artifacts. In this paper we present a sampling pattern for feature and blend regions which minimizes these alias errors. We show how to improve the quality of a given polygonal mesh model by resampling its feature and blend regions within an interactive framework. We further demonstrate sophisticated modeling operations that can be implemented based on this resampling technique.