期刊论文详细信息
Jisuanji kexue yu tansuo
Research on Face Detection Algorithm for Dual-Shot Neural Network Matching
WANG Ru, HE Xingshi, YANG Xinshe1 
[1] 1. College of Science, Xi'an Polytechnic University, Xi'an 710600, China 2. College of Science and Technology, Middlesex University, Cambridge CB2 1TN, UK;
关键词: face detection;    template matching;    face detector;    feature extraction;   
DOI  :  10.3778/j.issn.1673-9418.1911037
来源: DOAJ
【 摘 要 】

Under the influence of scale, occlusion and other factors, the speed and precision of the face detection algorithm are not matched at the same time, and the detection performance is poor. The neural network detector algorithm incorporating the idea of template matching is adopted to solve this deficiency. A face detection algorithm for dual-shot neural network matching is proposed. Thus, an improved method for matching the detection speed and precision is obtained. Firstly, constructing a face template framework and setting a certain threshold according to the five-feature position relation. Secondly, according to the robustness of the constructed template and anchor strategy to different scales of face, extracting and labeling the face area in the sample data in the feature enhancement module layer of the DSFD (dual shot face detector). Finally, matching the correction between the extracted and marked face area and the constructed template. The experimental results on face data sets, such as Face Detection Data Set and Benchmark, FDDB and WIDER FACE indicate that the improved algorithm ensures the accuracy while improving the detection speed, and its advantage is more obvious than that of several similar algorithms.

【 授权许可】

Unknown   

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