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Several new shape representations for 3D objects are continuing to emerge.
Most shape representations are embedded in a variety of feature spaces.
The proposed LM is useful for applications that require delicate shape representations and promotes standardization of facial LMs.
In this study, a comparative analysis of four architectural shape representations for the task of unsupervised clustering is presented.
In our approach, fine meshes are used for the phase field evolution, which allows fine resolution for shape representations.
Therefore, we list a set of five main characteristics of our proposed representation that will distinguish it from other close face shape representations.
Similar(35)
It is based on new shape representation called mixed shape representation.
There are two related issues for shape representation.
Shape representation is a fundamental problem in computer vision.
(1) For shape representation, two kinds of features are considered.
The server robot determined the necessary representation autonomously and requested its shape representation.
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