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Image-Driven Simplification (2000)
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BibTeX
@MISC{Lindstrom00image-drivensimplification,
author = {Peter Lindstrom and Greg Turk},
title = {Image-Driven Simplification},
year = {2000}
}
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Abstract
We introduce the notion of image-driven simplification, a framework that uses images to decide which portions of a model to simplify. This is a departure from approaches that make polygonal simplification decisions based on geometry. As with many methods, we use the edge collapse operator to make incremental changes to a model. Unique to our approach, however, is the use of comparisons between images of the original model against those of a simplified model to determine the cost of an edge collapse. We use common graphics rendering hardware to accelerate the creation of the required images. As expected, this method produces models that are close to the original model according to image differences. Perhaps more surprising, however, is that the method yields models that have high geometric fidelity as well. Our approach also solves the quandary of how to weight the geometric distance versus appearance properties such as normals, color and texture. All of these tradeoffs are ba...
Keyphrases
image-driven simplification original model edge collapse edge collapse operator geometric distance versus appearance property simplified model high geometric fidelity common graphic required image method yield model incremental change image difference many method polygonal simplification decision
