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Face clustering using high-level feature based on deep learning
Hu Yi,Dong Yuan *
Sschool of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876
*Correspondence author
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Funding: none
Opened online:24 July 2015
Accepted by: none
Citation: Hu Yi,Dong Yuan.Face clustering using high-level feature based on deep learning[OL]. [24 July 2015] http://en.paper.edu.cn/en_releasepaper/content/4649229
 
 
In this paper, we focuse on face clustering in natrural scene. A new method is proposed and it consists of two parts: feature extraction and clustering algorithm. For feature extraction, a convolutional neural network is used to automatically extract most discriminative feature from a face image. For clustering algorithm, we choose hierarchical clustering algorithm to complete the clustering job. F-measure is applied to evaluate the clustering result of the proposed method on LFW dataset, and different situations are studied in the experiments. The performance shows that this mehod is effective for face clustering.
Keywords:computer vision; face clustering; deep learning; hierarchical clustering
 
 
 

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