Graphics Reference
In-Depth Information
Signed deviation color map and distribution
between restored face and gallery face
Face after
curves restoration
Face after
occlusion removal
3.46655
2.73649
2.00643
1.27636
0.00000
Total distribution:
99.89693%
average
-0.91382
-1.64388
-3.10401
-3.83407
3.46000
3.11400
2.76800
2.42200
2.07600
1.73000
1.38400
1.03800
0.69200
0.34600
0.00000
Restoration
Mesh
generation
-2.37395
Total distribution:
98.57543%
average
Absolute deviation color map and distribution
between restored face and gallery face
Neutral face
(Gallery)
Alignment
Restored face
Figure 3.22 Illustration of a face with missing data (after occlusion removal) and its restoration. The
deviation between the restored face and the corresponding neutral face is also illustrated. Copyright C
1969, IEEE
Algorithm 6 Curves restoration
Input : P : face with missing data, eigenvectors B k j ,
k
=
1
...
K
Output : P restored
K : number of curves in each face; n: number of points in a complete curve.
for k
1 to K do
if quality(c k =
0) then
for i
1 to n do
flag k [ i ]
1;
if i corresponds to missing part then
flag [ i ]
=
=
0;
end
end
q k =
SRVF ( c k );
exp 1
v k =
μ k ( q k ); if flag [ i ]
=
1
μ k ( N B k
q k =
exp
j = 1
c k v k j
v k j ); if flag [ i ]
=
1
end
end
3.8.2 Hierarchical Organization of Facial Shapes
One of the main goals for studying shapes of the nose/face region is to conduct biometric
identification where query is often compared to a set of gallery shapes. This comparison
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