Single-stage face detection method based on feature fusion and data enhancement

Hua Li; Yujie Chen; Yang Yang; Lingdi Zhao

doi:10.1117/12.2671065

28 April 2023 Single-stage face detection method based on feature fusion and data enhancement

Hua Li, Yujie Chen, Yang Yang, Lingdi Zhao

Proceedings Volume 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022); 126102X (2023) https://doi.org/10.1117/12.2671065
Event: Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 2022, Wuhan, China

Abstract

The depth face detector based on an anchor frame has demonstrated good performance with the advancement of science and technology, but tiny faces and partially occluded faces are still difficult to identify under the effect of posture, lighting, occlusion, and other factors. We present the ESSFD, an enhanced single-stage face detector, to increase the robustness of face detection in complex environments. The following are the important points: (1) Enhancing feature extraction by using an optimized ResNet-D network in the backbone network and adding Atrous Convolution Layer supplementary feature pyramids; (2) For data augmentation, use a combination of Gaussian blur and color jitter to lessen the impact of image environmental elements and increase the model’s robustness; (3) Fine-tune the training parameters for the model. In the presence of unusual postures, complicated lighting, and partial occlusion, ESSFD can increase the detection accuracy of tiny faces when compared to RetinaFace. Experiments reveal that in the easy and medium stages of the WIDER FACE dataset, the Average Accuracy (AP) of the ESSFD detector is around 1% higher than that of the advanced RetinaFace face detector (AP=95.373%). In the hard tiny face detection stage, it is around 2% higher than RetinaFace.

Citation Download Citation

Hua Li, Yujie Chen, Yang Yang, and Lingdi Zhao "Single-stage face detection method based on feature fusion and data enhancement", Proc. SPIE 12610, Third International Conference on Artificial Intelligence and Computer Engineering (ICAICE 2022), 126102X (28 April 2023); https://doi.org/10.1117/12.2671065

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KEYWORDS

Facial recognition systems

Image enhancement

Image processing

Data modeling

Environmental sensing

Light sources and illumination

Object detection

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