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基于偏最小二乘回归局部形状关系建模的颅面复原方法
  • ISSN号:1001-9081
  • 期刊名称:《计算机应用》
  • 时间:0
  • 分类:TP391.41[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]西北大学经济管理学院,西安710127, [2]西北大学信息科学与技术学院,西安710127, [3]北方民族大学数学与信息科学学院,银川750021
  • 相关基金:国家自然科学基金资助项目(61172170,61462002,61372046); 陕西省自然科学基金资助项目(2015JQ7278)
中文摘要:

针对基于主成分分析(PCA)的颅面联合统计复原中建模方法未充分考虑颅骨对面皮表面形状影响的局部性、模型对颅骨与面皮之间形状变化关系描述能力不足的问题,提出一种基于偏最小二乘回归(PLSR)局部形状关系建模的颅面复原方法。首先,深入分析基于PCA的颅面整体形状统计建模方法的缺陷,以及利用PLSR进行局部形状关系统计建模的优势;然后,将PLSR引入到颅面形状关系建模过程中,以按照法医人类学知识分类和具有生理点对应关系的颅面三维表面模型为训练集,针对每一类面皮上的每一个表面顶点,建立关于与其局部紧密相关的颅骨表面顶点集的PLSR坐标计算模型;进而,利用面皮表面顶点的坐标计算模型获得待复原面皮各顶点坐标来实现面貌复原,并给出基于PLSR局部形状关系建模的颅面复原方法的具体步骤;最后,给出通过PLSR局部形状关系建模进行颅面复原的多个实例,并采用有效复原能力和绝对误差等多种评估指标进行对比评估。实验结果表明,基于PLSR局部形状关系建模方法能显著提高颅面复原的准确度。

英文摘要:

Focusing on the issue that the significant localized characteristics of the influence of skull on the facial surface shape are not fully considered in the existing joint statistical craniofacial reconstruction methods based on Principal Component Analysis( PCA) modeling,which leads to the inadequate description ability of the craniofacial morphological correlation models,by employing these methods and describing the morphological relationship between skull and face,a new craniofacial reconstruction method based on a Partial Least Squares Regression( PLSR) model of local craniofacial morphological correlation was proposed. Firstly,the defects of the joint statistical shape model based on PCA with skull and face as a whole and the advantages of the local morphological correlation model based on PLSR were deeply analyzed. Secondly, by introducing PLSR into the modeling of craniofacial morphological correlation,and based on craniofacial 3D surface model,whose physiological consistent correspondence was established,and classified according to forensic anthropology knowledge,the PLSR coordinate calculation model for each vertex of facial surface was constructed,with those closely related vertex set on skull as its independent variables. Thirdly,with the coordinates of the unknown skull surface model as input values of the coordinate calculation model,the coordinate of each vertex of the predicted face model was acquired,from which the predicted face could be reconstructed,and the concrete procedure of the new reconstruction method was elaborated. Finally,several craniofacial reconstruction experimentations by applying the new reconstruction method based on PLSR were given,and the new reconstruction method was comparatively analyzed and evaluated by the indicators including effectiveness of reconstruction and absolute error. The experimental results show that the new reconstruction method significantly improves the accuracy of craniofacial reconstruction.

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期刊信息
  • 《计算机应用》
  • 北大核心期刊(2011版)
  • 主管单位:四川省科学技术协会
  • 主办单位:四川省计算机学会中国科学院成都分院
  • 主编:张景中
  • 地址:成都市人民南路四段九号科分院计算所
  • 邮编:610041
  • 邮箱:xzh@joca.cn
  • 电话:028-85224283
  • 国际标准刊号:ISSN:1001-9081
  • 国内统一刊号:ISSN:51-1307/TP
  • 邮发代号:62-110
  • 获奖情况:
  • 全国优秀科技期刊一等奖,国家期刊奖提名奖,中国期刊方阵双奖期刊,中文核心期刊,中国科技核心期刊
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,波兰哥白尼索引,美国剑桥科学文摘,英国科学文摘数据库,日本日本科学技术振兴机构数据库,中国中国科技核心期刊,中国北大核心期刊(2004版),中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:53679