Kinship verification based on deep learning

Xiaoting Wu; Xiaoyi Feng; Lei Li; Elhocine Boutellaa; Abdenour Hadid

doi:10.1007/978-981-10-5152-4_5

Kinship verification based on deep learning

Xiaoting Wu, Xiaoyi Feng, Lei Li, Elhocine Boutellaa, Abdenour Hadid

电子信息学院

科研成果: 书/报告/会议事项章节 › 章节 › 同行评审

3 引用（Scopus）

摘要

Automatic kinship verification using facial images is a relatively new and challenging research problem in computer vision. It consists in automatically predicting whether two persons have a biological kin relation by examining their facial attributes. While most of the existing works extract shallow handcrafted features from still face images, in this chapter, we approach this problem from deep learning point of view. Promising results, especially those of deep features, are obtained on the benchmark UvA-NEMO Smile database and KinFaceW-I and KinFaceW-II kinship face databases.

源语言	英语
主期刊名	Deep Learning in Object Detection and Recognition
出版商	Springer Singapore
页	113-132
页数	20
ISBN（电子版）	9789811051524
ISBN（印刷版）	9789811051517
DOI	https://doi.org/10.1007/978-981-10-5152-4_5
出版状态	已出版 - 1 1月 2019

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abstract = "Automatic kinship verification using facial images is a relatively new and challenging research problem in computer vision. It consists in automatically predicting whether two persons have a biological kin relation by examining their facial attributes. While most of the existing works extract shallow handcrafted features from still face images, in this chapter, we approach this problem from deep learning point of view. Promising results, especially those of deep features, are obtained on the benchmark UvA-NEMO Smile database and KinFaceW-I and KinFaceW-II kinship face databases.",

author = "Xiaoting Wu and Xiaoyi Feng and Lei Li and Elhocine Boutellaa and Abdenour Hadid",

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AU - Wu, Xiaoting

AU - Feng, Xiaoyi

AU - Li, Lei

AU - Boutellaa, Elhocine

AU - Hadid, Abdenour

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Automatic kinship verification using facial images is a relatively new and challenging research problem in computer vision. It consists in automatically predicting whether two persons have a biological kin relation by examining their facial attributes. While most of the existing works extract shallow handcrafted features from still face images, in this chapter, we approach this problem from deep learning point of view. Promising results, especially those of deep features, are obtained on the benchmark UvA-NEMO Smile database and KinFaceW-I and KinFaceW-II kinship face databases.

AB - Automatic kinship verification using facial images is a relatively new and challenging research problem in computer vision. It consists in automatically predicting whether two persons have a biological kin relation by examining their facial attributes. While most of the existing works extract shallow handcrafted features from still face images, in this chapter, we approach this problem from deep learning point of view. Promising results, especially those of deep features, are obtained on the benchmark UvA-NEMO Smile database and KinFaceW-I and KinFaceW-II kinship face databases.

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BT - Deep Learning in Object Detection and Recognition

PB - Springer Singapore

ER -

Kinship verification based on deep learning

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