A Hierarchical 3D Facial Correspondence Method Based on Regional Deformation and Multi-Constraint

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A Hierarchical 3D Facial Correspondence Method Based on Regional Deformation and Multi-Constraint

更新时间：2025-07-09

- A Hierarchical 3D Facial Correspondence Method Based on Regional Deformation and Multi-Constraint
- Vol. 46, Issue 6, Pages: 66-73(2012)
- 作者机构：
  
  西北大学信息科学与技术学院,西安,710069
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Online First：10 June 2012，
  
  Published：2012
- 稿件说明：
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A Hierarchical 3D Facial Correspondence Method Based on Regional Deformation and Multi-Constraint[J]. 2012, 46(6): 66-73.
DOI：

A Hierarchical 3D Facial Correspondence Method Based on Regional Deformation and Multi-Constraint[J]. 2012, 46(6): 66-73. DOI：

摘要

针对颅面统计复原中基于面貌形态几何特征建立三维面皮间生理点对应关系的难题

提出几何模板分区变形与多重约束结合的三维面皮层次点对应方法(HCRDM).该方法根据人脸生理结构特征点定义一套五官分区几何模板

以实现面皮分区半自动化; 根据特征点的严格对应关系

利用径向基函数对样本面皮各分区变形; 为近似重合的各分区建立体素模型

逐次选取特征显著的模板顶点作为待对应点

利用模板顶点间局部相对位置几何约束确定样本分区中对应点候选集; 根据局部几何特征加权距离确定最优对应点; 结合几何约束与微分特征距离约束实现边界区域点对应.实验结果表明

HCRDM较已有的三维面皮点对应算法准确率提高了10%以上.

Abstract

A new hierarchical 3D facial correspondence method based on regional deformation and multi-constraint(HCRDM)is proposed to deal with the problem how to establish physiological consistent correspondence between 3D face samples according to morphological geometric characteristics in craniofacial statistical reconstruction. A set of regional geometrical template of facial organs is defined based on physiological structural landmarks so that a semi-automatic partition of face can be achieved. Then

each region in the sample is deformed based on radial basis function(RBF)according to the strict correspondence of landmarks. Voxel models are built for those approximately coincided corresponding regions

the current under-corresponding vertex(CUV)with largest curvature in the template is successively selected and a candidate set of corresponding vertexes on sample face is determined by the local geometrical constraint of CUV

which is generated from relative positions between those corresponded template vertexes and CUV. Then

the optimal corresponding vertex on the sample can be determined according to the weighted distances of local geometric features between CUV and each candidate vertex. The correspondences of border regions are finally established by the geometrical constraint and the distance-constraint of differential characteristics. Experimental results show that the accuracy of 3D facial correspondence established by HCRDM is 10% higher than that of existing algorithms.

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references

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