Graphics Reference
In-Depth Information
Figure 9.2:
From left to right, 3D description via Reeb graph extraction, computation of histograms
of spectral features, feature selection [
85
].
scriptor could be used to code the model subparts, this descriptor satisfies the requirements of
being rotation and scale invariant, computationally efficient, synthetic and able to store the dis-
tribution of each sub-part. Nodes and edges are uniformly indexed using an array, whose entries
correspond on the spherical harmonic values of the related sub-part.
Figure
9.3
shows a set of contours and the Reeb graph of a tea-pot model with the cor-
responding shape parts. In case of multiple connection between the nodes
v
1
and
v
2
, each edge
stores the geometric information related to a single portion of the surface.
Figure 9.3:
Characterization, ERG and model parts associated with graph nodes and edges.
, most
of them derived from graph matching techniques [
201
]. e approach followed in [
12
] adopts a
matching techniques based on kernels [
109
,
119
,
206
,
207
].
e definition of the ERG is flexible with respect to the choice of the function
f
: this prop-
erty makes the ERG adaptable to the characteristics of the specific domain where the similarity
needs to be evaluated. erefore, given a 3D model database composed of
N
models, a
NF
graph table
T
is created (being
F
the number of real functions). e element
T.i;j/
is the ERG
Several methods are available to measure the similarity between graphs
G
and
G
0
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