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Description: 这是一个我自己编写的三维图像 很有价值 希望给出建议。-I prepared a three-dimensional image of hope is very valuable suggestions.
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Size: 10708 |
Author: 马占 |
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Description: 这是一个我自己编写的三维图像 很有价值 希望给出建议。-I prepared a three-dimensional image of hope is very valuable suggestions.
Platform: |
Size: 10240 |
Author: 马占 |
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Description: 实现三维颅骨的打开，及网格简化和一系列操作。- Reality of 3D Skull ,Open File, Net simplified, a serials of operations.
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Size: 2464768 |
Author: 张喜峰 |
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Description: Abstract. We present a novel 3D face recognition approach based on
geometric invariants introduced by Elad and Kimmel. The key idea of
the proposed algorithm is a representation of the facial surface, invari-
ant to isometric deformations, such as those resulting from different
expressions and postures of the face. The obtained geometric invariants
allow mapping 2D facial texture images into special images that incor-
porate the 3D geometry of the face. These signature images are then
decomposed into their principal components. The result is an efficient
and accurate face recognition algorithm that is robust to facial expres-
sions. We demonstrate the results of our method and compare it to ex-
isting 2D and 3D face recognition algorithms.
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Size: 434176 |
Author: arkan |
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Description:
Abstract—Recently, a 3D face recognition approach based on
geometric invariant signatures, has been proposed. The key idea
of the algorithm is a representation of the facial surface, invariant
to isometric deformations, such as those resulting from facial
expressions. One of the crucial stages in the construction of the
geometric invariants is the measurement of geodesic distances on
triangulated surfaces, carried out by fast marching on
triangulated domains (FMTD). Proposed here is a method, which
uses only the metric tensor of the surface for geodesic distance
computation. When combined with photometric stereo used for
facial surface acquisition, it allows constructing a bending-
invariant representation of the face without reconstructing the 3D
surface. -
Abstract—Recently, a 3D face recognition approach based on
geometric invariant signatures, has been proposed. The key idea
of the algorithm is a representation of the facial surface, invariant
to isometric deformations, such as those resulting from facial
expressions. One of the crucial stages in the construction of the
geometric invariants is the measurement of geodesic distances on
triangulated surfaces, carried out by fast marching on
triangulated domains (FMTD). Proposed here is a method, which
uses only the metric tensor of the surface for geodesic distance
computation. When combined with photometric stereo used for
facial surface acquisition, it allows constructing a bending-
invariant representation of the face without reconstructing the 3D
surface.
Platform: |
Size: 266240 |
Author: arkan |
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Description: face3d at least five sourcecodes/documents.
Platform: |
Size: 6621184 |
Author: youlananh |
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Description: 和kinect配合一起，实现人脸识别，并放大人脸(Work with kinect to achieve face recognition and enlarge face)
Platform: |
Size: 7314432 |
Author: 嘎嘣 |
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