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Feature Extraction and Fusion Using Deep Convolutional Neural Networks for Face Detection
Joint Authors
Zhang, Xiangde
Lu, Xiaojun
Duan, Xu
Mao, Xiuping
Li, Yuanyuan
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-01-24
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
This paper proposes a method that uses feature fusion to represent images better for face detection after feature extraction by deep convolutional neural network (DCNN).
First, with Clarifai net and VGG Net-D (16 layers), we learn features from data, respectively; then we fuse features extracted from the two nets.
To obtain more compact feature representation and mitigate computation complexity, we reduce the dimension of the fused features by PCA.
Finally, we conduct face classification by SVM classifier for binary classification.
In particular, we exploit offset max-pooling to extract features with sliding window densely, which leads to better matches of faces and detection windows; thus the detection result is more accurate.
Experimental results show that our method can detect faces with severe occlusion and large variations in pose and scale.
In particular, our method achieves 89.24% recall rate on FDDB and 97.19% average precision on AFW.
American Psychological Association (APA)
Lu, Xiaojun& Duan, Xu& Mao, Xiuping& Li, Yuanyuan& Zhang, Xiangde. 2017. Feature Extraction and Fusion Using Deep Convolutional Neural Networks for Face Detection. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1189484
Modern Language Association (MLA)
Lu, Xiaojun…[et al.]. Feature Extraction and Fusion Using Deep Convolutional Neural Networks for Face Detection. Mathematical Problems in Engineering No. 2017 (2017), pp.1-9.
https://search.emarefa.net/detail/BIM-1189484
American Medical Association (AMA)
Lu, Xiaojun& Duan, Xu& Mao, Xiuping& Li, Yuanyuan& Zhang, Xiangde. Feature Extraction and Fusion Using Deep Convolutional Neural Networks for Face Detection. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-9.
https://search.emarefa.net/detail/BIM-1189484
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189484