分区变形与多重约束结合的面皮层次点对应方法

贺毅岳 1; 周蓬勃 2; 耿国华 1; 周明全 1

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分区变形与多重约束结合的面皮层次点对应方法

更新时间：2025-07-09

- 分区变形与多重约束结合的面皮层次点对应方法
- A Hierarchical 3D Facial Correspondence Method Based on Regional Deformation and Multi-Constraint
- 西安交通大学学报 2012年46卷第6期页码：66-73
- 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：
  
  : 2011-11-23. 作者简介: 贺毅岳(1983-),男,博士生;耿国华(通信作者),女,教授,博士生导师. 基金项目: 国家自然科学基金重点资助项目(60736008);国家重点基础研究发展计划前期专项资助项目(2011CB311801);国家自然科学基金资助项目(F010402)
- DOI：
  中图分类号： TP391
- 网络首发：2012-06-10，
  
  纸质出版：2012
- 稿件说明：
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贺毅岳 1, 周蓬勃 2, 耿国华 1, 等. 分区变形与多重约束结合的面皮层次点对应方法[J]. 西安交通大学学报, 2012,46(6):66-73.

A Hierarchical 3D Facial Correspondence Method Based on Regional Deformation and Multi-Constraint[J]. 2012, 46(6): 66-73.
贺毅岳 1, 周蓬勃 2, 耿国华 1, 等. 分区变形与多重约束结合的面皮层次点对应方法[J]. 西安交通大学学报, 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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李康. 基于颅骨的人脸建模技术研究及在法医面貌复原中的应用[D]. 西安:西北大学, 2006.

张彦飞. 基于分区的颅面统计重建算法研究与实现[D]. 西安: 西北大学, 2010.

MA Hongjing, FENG Jun. Three-dimensional facial feature points matching based on a combined support vector machine [C]∥Proceedings of The First International Conference on Internet Multimedia Computing and Service. New York, NY, USA: ACM, 2009: 153-158.

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