David Luebke
University of Virginia
Jonathan Cohen
Johns Hopkins University
Nathaniel Williams
University of North Carolina at Chapel Hill
Mike Kelly
University of Virginia
Brenden Schubert
University of Virginia
Proceedings of the 2003 Symposium on Interactive 3-D Graphics
Abstract
We present a new algorithm for best-effort simplification of polygonal
meshes based on principles of visual perception. Following
previous work, we use a simple model of low-level human
vision to estimate the perceptibility of local simplification operations
in a view-dependent multitriangulation structure. Our algorithm
improves on prior perceptual simplification approaches by
accounting for textured models and dynamic lighting effects. We
also model more accurately the scale of visual changes resulting
from simplification, using parameterized texture deviation to
bound the size (represented as spatial frequency) of features destroyed,
created, or altered by simplifying the mesh. The resulting
algorithm displays many desirable properties: it is viewdependent,
sensitive to silhouettes, sensitive to underlying texture
content, and sensitive to illumination (for example, preserving
detail near highlight and shadow boundaries, while aggressively
simplifying washed-out regions). Using a unified perceptual
model to evaluate these effects automatically accounts for their
relative importance and balances between them, overcoming the
need for ad hoc or hand-tuned heuristics.
Paper
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