Kinship recognition is a challenging problem with many practical applications. With much progress and milestones having been reached after ten years since pioneered - it is now that today we are able to survey their research and create new milestones. We list and review the public resources and data challenges that enabled and inspired many to hone-in on one or more views of automatic kinship recognition in the visual domain. The different tasks are described in technical terms and syntax consistent across the problem domain and the practical value of each discussed and measured. State-of-the-art methods for visual kinship recognition problems, whether to discriminate between or generate from, are examined. As part of such, we review systems proposed as part of a recent data challenge held in conjunction with the 2020 IEEE Conference on Automatic Face and Gesture Recognition. We establish a stronghold for the state of progress for the different problems in a consistent manner. We intend for this survey will serve as the central resource for work of the next decade to build upon. For the tenth anniversary, demo code is provided for the various kin-based tasks. Detecting relatives with visual recognition and classifying the relationship is an area with high potential for impact in research and practice.
翻译:在许多实际应用方面,承认亲子关系是一个具有挑战性的问题。在自开创以来的十年之后,我们取得了许多进展和里程碑,如今,我们得以调查他们的研究并创造新的里程碑。我们列举和审查公共资源和数据挑战,使许多人能够并激励他们利用视觉领域的一种或多种自动亲属承认观点。不同的任务以技术术语和语法来描述,在问题领域和每个讨论和计量的实际价值之间保持一致。对视觉亲属认同问题,无论是区分还是从中产生,都进行了最先进的方法研究。作为这种方法的一部分,我们审查作为最近与2020年IEEEE自动面貌和认领问题会议一起举行的数据挑战的一部分而提出的系统。我们以一致的方式为不同问题的进展状况建立一个堡垒。我们打算这项调查将作为今后十年工作的中心资源。在十周年之际,为各种基于亲属的任务提供低调代码。发现具有视觉识别和分类关系的亲属是研究和实践中具有很大影响的领域。