Proceedings ArticleDOI
Self-similarity representation of Weber faces for kinship classification
Naman Kohli,Richa Singh,Mayank Vatsa +2 more
- pp 245-250
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TLDR
A kinship classification algorithm that uses the local description of the pre-processed Weber face image to outperforms an existing algorithm and yields a classification accuracy of 75.2%.Abstract:
Establishing kinship using images can be utilized as context information in different applications including face recognition. However, the process of automatically detecting kinship in facial images is a challenging and relatively less explored task. The reason for this includes limited availability of datasets as well as the inherent variations amongst kins. This paper presents a kinship classification algorithm that uses the local description of the pre-processed Weber face image. A kinship database is also prepared that contains images pertaining to 272 kin pairs. The database includes images of celebrities (and their kins) and has four ethnicity groups and seven kinship groups. The proposed algorithm outperforms an existing algorithm and yields a classification accuracy of 75.2%.read more
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Journal ArticleDOI
Kinship verification from facial images and videos: human versus machine
Miguel Bordallo López,Abdenour Hadid,Elhocine Boutellaa,Jorge Goncalves,Vassilis Kostakos,Simo Hosio +5 more
TL;DR: This work investigates the state-of-the-art methods in automatic kinship verification from facial images, comparing their performance with the one obtained by asking humans to complete an equivalent task using a crowdsourcing system and shows that machines can consistently beat humans in kinship classification tasks.
Journal ArticleDOI
Heterogeneous Similarity Learning for More Practical Kinship Verification
Xiaoqian Qin,Dakun Liu,Dong Wang +2 more
TL;DR: A novel heterogeneous similarity learning (HSL) method that aims to learn a similarity function under which the commonality among different kinship relations are captured and the geometry of each relation is preserved, simultaneously.
Journal ArticleDOI
Learning a Genetic Measure for Kinship Verification Using Facial Images
TL;DR: Experimental results show that the proposed new kinship verification approach by learning a sparse similarity measure in an online fashion is highly competitive to the state-of-the-art alternatives in terms of verification accuracy, yet it is superior in Terms of scalability for practical applications.
Proceedings ArticleDOI
A multi-perspective holistic approach to Kinship Verification in the Wild
TL;DR: Experimental results show that the method provides, on the same data, optimal accuracies with respect to other approaches and outperforms the recognition abilities of human beings.
Journal ArticleDOI
Cubic norm and kernel-based bi-directional PCA: toward age-aware facial kinship verification
TL;DR: Evaluation of the proposed method on five publicly available facial kinship datasets shows the superiority ofThe proposed method over both the state-of-the-art kinship verification methods and what is known as human decision-making.
References
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