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Tri-subjects kinship verification: Understanding the core of a family

机译：三主体亲属关系验证：了解家庭的核心

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Recent research has demonstrated that computer vision algorithms have understood individual face image fairly well. However, one major challenge in computer vision is to go beyond that and to investigate the bi-or tri- relationship among multiple visual entities, answering such questions as whether a child in a photo belongs to given parents. Indeed parents-child relationship plays a core role in a family and understanding such kind of kin relationship would have fundamental impact on the behavior of an artificial intelligent agent working in a human being world. In this work, we tackle the problem of tri-subjects kinship verification by effectively exploiting the dependence structure between child and parents in a few aspects: similarity measure, feature selection and classifier design. State-of-the-art results are reported with the proposed method on our newly released kinship database characterized by over 1,000 parents-child groups.
机译：最近的研究表明，计算机视觉算法已经很好地理解了个人面部图像。但是，计算机视觉的一个主要挑战是要超越这一范围，并研究多个视觉实体之间的双向关系或三级关系，回答诸如照片中的孩子是否属于给定父母的问题。确实，父母与子女的关系在家庭中起着核心作用，了解这种亲属关系将对在人类世界中工作的人工智能代理的行为产生根本性的影响。在这项工作中，我们通过在几个方面：相似性度量，特征选择和分类器设计，有效地利用孩子与父母之间的依存关系结构，来解决三主体亲属关系验证的问题。最新提议的方法已在我们最新发布的亲属关系数据库中报告了最新结果，该亲属关系数据库具有1,000多个亲子群体。

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