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Family verification based on similarity of individual family member's facial segments

机译:基于单个家庭成员面部相似度的家庭验证

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摘要

Humans process faces to recognize family resemblance and act accordingly. Undoubtedly, they are capable of recognizing their kin and family members. In this paper, we study the facts and valid assumptions of facial resemblance in family members' facial segments. Our analysis and psychological studies show that the facial resemblance differs from member to member and depends on image segments. First, we estimate the degree of resemblance of each member's image segment. Then, we propose a novel method to fuse similarity of each member's facial image segments to perform family verification. Employing the proposed approach on the collected 5,400-sample family database achieves considerable improvement compared to the state-of-the-art fusion rule in three designated test scenarios. Experimental results also show that the proposed approach could estimate the similarity slightly more accurate than human perception. We believe the public availableness of the database may advance the development in this domain.
机译:人类处理面孔以识别家庭相似之处并采取相应行动。毫无疑问,他们有能力认识自己的亲戚和家人。在本文中,我们研究了家庭成员面部区域中面部相似的事实和有效假设。我们的分析和心理学研究表明,面部相似因成员而异,并且取决于图像片段。首先,我们估计每个成员的图像片段的相似程度。然后,我们提出了一种新颖的方法来融合每个成员的面部图像片段的相似度以进行家庭验证。与在三个指定的测试方案中的最新融合规则相比,在收集的5,400个样本的家庭数据库上采用建议的方法可以实现相当大的改进。实验结果还表明,所提出的方法可以比人类感知更准确地估计相似度。我们认为数据库的公开可用性可能会推动该领域的发展。

著录项

  • 来源
    《Machine Vision and Applications》 |2014年第4期|919-930|共12页
  • 作者单位

    School of Electrical and Electronics Engineering, 50 Nanyang Drive, Nanyang Technological University, Singapore 639798, Singapore;

    Institute for Infocomm Research (I~2R), 1 Fusionopolis way, Singapore 138632, Singapore;

    School of Electrical and Electronics Engineering, 50 Nanyang Drive, Nanyang Technological University, Singapore 639798, Singapore;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Family members; Facial patches; Score fusion;

    机译:家庭成员;面部补丁;分数融合;

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