Technology of Graphic & Image
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 6
1897-1900,1906

Bottom-up face detection algorithm

Zhang Ning
Wu Pinghui
Tianjin Key Laboratory of Electronic Materials & Devices, School of Electronic & Information Engineering, Hebei University of Technology, Tianjin 300401, China
DOI: 10.19734/j.issn.1001-3695.2018.01.0032

Abstract

Faced with the problems often encountered in face detection under non-controlled conditions, such as complex facial expression, serious face occlusion, complex external environment, poor lighting conditions, tiny face, etc, this paper proposed a bottom-up face detection method. Bottom-up face detection was based on deep learning, face detection and key points of the first position-related key detection and then face detection. Convolution neural network structure using dense network for image feature extraction, it transmitted the extracted features to 6 cascaded networks, each of which consisted of two branch networks. It used branch network 1 to predict the coordinates of face-related key points, and used branch network 2 to predict the position between key points relationship. This paper performed face detection by using the obtained key point position and position relationship. It verifies the FDDB test set and achieves 0.98 results, and the smallest face resolution 10×10 can be detected at the resolution of input image 1920×1080, used the GPU Nvidia GeForce GTX 1070 for up to 17 fps video detection.

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0032
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 6
Section: Technology of Graphic & Image
Pages: 1897-1900,1906
Serial Number: 1001-3695(2019)06-062-1897-04

Publish History

[2019-06-05] Printed Article

Cite This Article

张宁, 伍萍辉. 一种自下而上的人脸检测算法 [J]. 计算机应用研究, 2019, 36 (6): 1897-1900,1906. (Zhang Ning, Wu Pinghui. Bottom-up face detection algorithm [J]. Application Research of Computers, 2019, 36 (6): 1897-1900,1906. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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