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首页> 外文期刊>Image Processing, IET >Robust facial landmark detection using mixture of discriminative visibility-aware models
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Robust facial landmark detection using mixture of discriminative visibility-aware models

机译：混合使用区分性可见性模型进行鲁棒的面部标志检测

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摘要

Facial landmark detection is a fundamental process included in many face analysis tasks. However, it faces great challenges for the facial images to be detected usually containing large variations, which will deteriorate the detection precision. Among such variations, partial occlusions and pose variations take great effects. In this study, the authors present a mixture of discriminative visibility-aware models (MDVMs) for facial landmark detection, to improve the generalisation ability of the model to occlusion and pose variation. By adopting different structure constrains for different poses as well as selecting different appearance model for the occluded parts, the MDVMs method can efficiently address the problem of partial occlusion and pose variation. Experiment results demonstrate that their proposed MDVMs method outperforms the well-known template-based methods, and can obtain much more accurate and robust facial landmarks detection results under both occlusions and pose variations.
机译：面部标志检测是许多面部分析任务中包含的基本过程。然而，要检测通常包含较大变化的面部图像面临很大的挑战，这将降低检测精度。在这种变化中，部分遮挡和姿势变化会产生很大的影响。在这项研究中，作者提出了用于面部界标检测的判别可见性识别模型（MDVM）的混合物，以提高模型对遮挡和姿势变化的泛化能力。通过针对不同的姿势采用不同的结构约束以及为遮挡的零件选择不同的外观模型，MDVMs方法可以有效地解决部分遮挡和姿势变化的问题。实验结果表明，他们提出的MDVMs方法优于众所周知的基于模板的方法，并且在遮挡和姿势变化下都可以获得更加准确和鲁棒的面部标志检测结果。

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  • 来源
    《Image Processing, IET》 |2016年第10期|733-741|共9页
  • 作者

    Yanfei Liu; Xiangdong Zhou; Yuanqian Li; Xiaohu Shao; Xi Zhou;

  • 作者单位

    Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, People's Republic of China;

    Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, People's Republic of China;

    Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, People's Republic of China;

    Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, People's Republic of China;

    Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, People's Republic of China;

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

    face recognition;

    机译：人脸识别;

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