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首页> 外文期刊>Journal of Digital Imaging >Shape-Based Classification of 3D Facial Data to Support 22q11.2DS Craniofacial Research
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Shape-Based Classification of 3D Facial Data to Support 22q11.2DS Craniofacial Research

机译：基于形状的3D面部数据分类，以支持22q11.2DS颅面研究

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摘要

3D imaging systems are used to construct high-resolution meshes of patient’s heads that can be analyzed by computer algorithms. Our work starts with such 3D head meshes and produces both global and local descriptors of 3D shape. Since these descriptors are numeric feature vectors, they can be used in both classification and quantification of various different abnormalities. In this paper, we define these descriptors, describe our methodology for constructing them from 3D head meshes, and show through a set of classification experiments involving cases and controls for a genetic disorder called 22q11.2 deletion syndrome that they are suitable for use in craniofacial research studies. The main contributions of this work include: automatic generation of novel global and local data representations, robust automatic placement of anthropometric landmarks, generation of local descriptors for nasal and oral facial features from landmarks, use of local descriptors for predicting various local facial features, and use of global features for 22q11.2DS classification, showing their potential use as descriptors in craniofacial research.
机译：3D成像系统用于构造患者头部的高分辨率网格，可以通过计算机算法对其进行分析。我们的工作从此类3D头部网格开始，并生成3D形状的全局和局部描述符。由于这些描述符是数字特征向量，因此它们可用于各种不同异常的分类和量化。在本文中，我们定义了这些描述符，描述了我们从3D头部网格构造它们的方法，并通过一组涉及22q11.2缺失综合征遗传病的病例和对照的分类实验，证明它们适用于颅面研究研究。这项工作的主要贡献包括：自动生成新颖的全局和局部数据表示，人体测量学界标的强大自动放置，从界标生成鼻腔和口腔面部特征的局部描述符，使用局部描述符预测各种局部面部特征，以及22q11.2DS分类的全局特征的使用，显示了它们在颅面研究中作为描述符的潜在用途。

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  • 来源
    《Journal of Digital Imaging》 |2012年第3期|p.400-408|共9页
  • 作者

    Katarzyna Wilamowska; Jia Wu; Carrie Heike; Linda Shapiro;

  • 作者单位

    Department of Medical Education and Biomedical Informatics, University of Washington, Box 357240, 1959 NE Pacific Street, Seattle, WA, 98195-7240, USA;

    Electrical Engineering, University of Washington, Seattle, WA, USA;

    Craniofacial Center, Seattle Children’s Hospital, Seattle, WA, USA;

    Computer Science and Engineering, University of Washington, Seattle, WA, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Image analysis; Imaging; Three-dimensional; Data mining;

    机译：图像分析;成像;三维;数据挖掘;

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