Modeling of facial aging and kinship: A survey

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摘要

Computational facial models that capture properties of facial cues related to aging and kinship increasingly attract the attention of the research community, enabling the development of reliable methods for age progression, age estimation, age-invariant facial characterization, and kinship verification from visual data. In this paper, we review recent advances in modeling of facial aging and kinship. In particular, we provide an up-to date, complete list of available annotated datasets and an in-depth analysis of geometric, hand-crafted, and learned facial representations that are used for facial aging and kinship characterization. Moreover, evaluation protocols and metrics are reviewed and notable experimental results for each surveyed task are analyzed. This survey allows us to identify challenges and discuss future research directions for the development of robust facial models in real-world conditions.

论文关键词:Age estimation,Age progression,Age-invariant face recognition,Cross-age face verification,Kinship verification

论文评审过程:Received 29 September 2017, Revised 8 March 2018, Accepted 10 May 2018, Available online 31 May 2018, Version of Record 22 October 2018.

论文官网地址:https://doi.org/10.1016/j.imavis.2018.05.003