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

School of Electronics and Information

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	Deep Learning in Object Detection and Recognition
Publisher	Springer Singapore
Pages	113-132
Number of pages	20
ISBN (Electronic)	9789811051524
ISBN (Print)	9789811051517
DOIs	https://doi.org/10.1007/978-981-10-5152-4_5
State	Published - 1 Jan 2019

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AU - Feng, Xiaoyi

AU - Li, Lei

AU - Boutellaa, Elhocine

AU - Hadid, Abdenour

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Kinship verification based on deep learning

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