Metro: measuring error on simplified surfaces
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Cites methods from "Metro: measuring error on simplifie..."
...Similar to the Metro tool [4], we use a sampling approach to approximate surface error....
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881 citations
Cites methods from "Metro: measuring error on simplifie..."
...Surface change is calculated by the distance between a point cloud and a reference 3D mesh or theoretical model (Cignoni and Rocchini, 1998), see also Monserrat and Crosetto (2008) and Olsen et al....
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751 citations
Cites methods from "Metro: measuring error on simplifie..."
...The comparisons with Metro [ 3 ], a similar tool, show that Mesh is very fast, memory efficient and provides stable distance measures....
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...One effective technique to achieve a large reduction of the number of point-triangle distance evaluations, also used in [ 3 ], is to use a uniform grid....
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...In this paper, we present an efficient tool to evaluate the distance between 3D models, similar to Metro[ 3 ]....
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680 citations
References
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Frequently Asked Questions (5)
Q2. What are the future works in this paper?
But the added value ofMetro in the case of a bounded error method is to give the possibility to view the distribution of the error on the mesh ( Figure 5 ).
Q3. How does Metro manage the random variable?
Metro manages this special case by adopting a random choice: a random variable is generated, with the probability of its TRUE value equal to the ratio between the triangle area and the squared sample area.
Q4. What is the ad hoc management of the surface meshes?
An \\ad hoc" management has been provided for a number of dangerous cases, such as nearly coincident vertices, facetsc The Eurographics Association 1998Usage: Metro file1 file2 [-a# -e# -h -l# -s ] [-r] [-q|v] [-b|bs|t]file1, file2 : input meshes to be compared;-a# crease angle setting for feature edges detection andclassification.
Q5. What is the distance between two surfaces?
Given a set of uniformly sampled distances, the authors denote the mean distance Em between two surfaces as the surface integral of the distance divided by the area of S1:Em(S1; S2) = 1jS1j Z S1 e(p; S2)