论文标题

对视觉亲属关系分析和建模的调查:制作十年

Survey on the Analysis and Modeling of Visual Kinship: A Decade in the Making

论文作者

Robinson, Joseph P, Shao, Ming, Fu, Yun

论文摘要

亲属识别是许多实际应用的挑战性问题。十年后达到了很多进展和里程碑 - 我们现在能够调查研究并创建新的里程碑。我们审查了使许多人在视觉域中自动亲属识别的观点磨练的公共资源和数据挑战。在问题域中的技术术语和语法描述了不同的任务,以及每个讨论和测量的每个任务。检查了视觉亲属识别问题的最新方法,无论是区分还是从中歧视。作为此类的一部分,我们审查了提议的系统,作为与2020年IEEE自动面部和手势识别会议结合的最新数据挑战的一部分。我们以一致的方式建立了针对不同问题的进度状态的据点。这项调查将作为下一十年工作的核心资源。在十周年纪念日中,为各种基于亲属的任务提供了演示代码。检测具有视觉识别和分类关系的亲戚是一个在研究和实践中影响很高的领域。

Kinship recognition is a challenging problem with many practical applications. With much progress and milestones having been reached after ten years - we are now able to survey the research and create new milestones. We review the public resources and data challenges that enabled and inspired many to hone-in on the 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. This survey will serve as the central resource for the work of the next decade to build upon. For the tenth anniversary, the 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.IEEE Transactions on pattern analysis and machine intelligence

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