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Feature-based three-dimensional face modeling method

A technology of 3D face and modeling method, which is applied in the field of feature-based 3D face modeling, can solve the problems that the expected pattern cannot be adjusted, the face model is difficult to polish, and the granularity is high, so as to achieve fast adjustment speed, The effect of accurate feature points and high degree of restoration

Inactive Publication Date: 2017-09-12
南京悦容网络科技有限公司
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AI Technical Summary

Problems solved by technology

[0002] The traditional 3D face modeling is to use a set of mesh face models composed of triangular faces, to compare and adjust each triangular face, and then use the smooth transition algorithm to polish the face model. The problem with this solution is that The granularity of the adjustment is too high, because the number of triangular faces in the entire model is fixed, so it is bound to appear that some areas cannot be adjusted to the desired pattern.
Moreover, during the adjustment process of the model, what it adjusts is a piece of individual triangular faces. In some cases, the structure of the entire face may be cut into pieces. Even if the smooth transition algorithm is used, it is difficult to polish a complete and recognizable person. face model

Method used

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Embodiment Construction

[0036] The technical solutions of the present invention will be further described in detail below in conjunction with specific embodiments.

[0037] see Figure 1-12 , a feature-based 3D face modeling method, the steps are as follows:

[0038] 1) Divide the face into multiple regions. In this embodiment, preferably, the face is divided into region A, region B, region C, region D, region E, region F, region G, region H, region I, region J;

[0039] The area A is formed by selecting the frontal muscle, the galeal aponeurosis, the frontal abdomen of the occipitofrontal muscle, and the superficial layer of the temporal fascia; the area B is formed by selecting the corrugator supercilii, the procerus muscle, and the deep layer of the temporal fascia; the area C is formed by selecting the orbicularis oculi muscle, occipitofrontal muscle frontal abdomen, occipitofrontal muscle occipital abdomen, and inner border; the region D is formed by selecting the nasal muscle, the inner part ...

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Abstract

The invention discloses a feature-based three-dimensional face modeling method. The method comprises: (1), a face is divided into a plurality of regions; (2) a feature point of each region is extracted and a facial form in each region is adjusted locally by comparing a preset feature point of a standard model; (3), adjusted two-dimensional feature points are mapped to a three-dimensional face model from two-dimensional coordinates; (4), after completion of coordinate mapping, the feature points are processed by using a B-spline function to realize fitting of a B-spline curve; and (5), all facial regions are spliced by using a smooth transition algorithm. A facial model generated based on the feature-based three-dimensional face modeling method has a high reduction degree and is vivid in details of the skeleton, contour, and the five sense organs; and thus problems that the previous face modeling method is lack of a three-dimensional effect and the facial stiffness is high can be solved.

Description

technical field [0001] The invention relates to the technical field of three-dimensional human body modeling, in particular to a feature-based three-dimensional face modeling method. Background technique [0002] The traditional 3D face modeling is to use a set of mesh face models composed of triangular faces, to compare and adjust each triangular face, and then use the smooth transition algorithm to polish the face model. The problem with this solution is that The granularity of the adjustment is too high, because the number of triangles in the entire model is fixed, so it is bound to appear that some areas cannot be adjusted to the desired pattern. Moreover, during the adjustment process of the model, what it adjusts is a piece of individual triangular faces. In some cases, the structure of the entire face may be cut into pieces. Even if the smooth transition algorithm is used, it is difficult to polish a complete and recognizable person. face model. Contents of the inv...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T17/20
CPCG06T17/20
Inventor 季一木朱曈晖柴博周杨罗坤
Owner 南京悦容网络科技有限公司
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