Face detection method based on context reasoning in unconstrained scene

A face detection, unconstrained technology, applied in the field of image processing, can solve the problems of facial feature extraction, insufficient utilization, failure to achieve satisfactory results, too many negative background samples, etc., to achieve good gain and improve utilization. , strong anti-interference effect

Pending Publication Date: 2020-11-06
SOUTHEAST UNIV
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Problems solved by technology

However, unconstrained human faces in natural scenes are easily disturbed by external environmental factors such as occlusion, illumination, expression, posture, etc., resulting in insufficient extraction and utilization of facial features; The bottleneck lies in the dense sampling of small

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  • Face detection method based on context reasoning in unconstrained scene
  • Face detection method based on context reasoning in unconstrained scene
  • Face detection method based on context reasoning in unconstrained scene

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Embodiment Construction

[0053] The technical solutions provided by the present invention will be described in detail below in conjunction with specific examples. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0054] Taking WIDER FACE (currently the most authoritative face detection benchmark) data set as an example, the specific implementation of the context-based reasoning face detection method in an unconstrained scene of the present invention will be further described in detail in conjunction with the accompanying drawings. The process is as follows figure 1 shown, including the following steps:

[0055] Step 1: Carry out data augmentation on the WIDER FACE training set, mainly including the following three aspects:

[0056] Step 1.1: Perform horizontal flipping and random cropping on the pictures in the WIDER FACE training set as a preliminary preprocessing. The s...

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Abstract

The invention provides a face detection scheme based on context inference in an unconstrained scene, and belongs to the field of multimedia signal processing. According to the invention, data augmentation is carried out on a training set; vGGNet-16 is used as a basic feature extraction network; features of different layers are fused in a weighted mode through a low-level feature pyramid network, acontext auxiliary prediction module is adopted in the prediction link to expand a sub-network so as to deepen and widen a network model, a self-adaptive anchor point sampling data enhancement mode and a multi-scale training method are introduced, and the adaptability of the model to the scale is enhanced. According to the method, description information with the highest expressive force can be extracted, facial features which are not fully extracted can be well made up, the utilization rate of the facial features can be optimized, and the method is suitable for an unconstrained scene with high detection difficulty, and particularly can achieve accurate detection of tiny, fuzzy and shielded faces.

Description

technical field [0001] The invention belongs to the technical field of image processing, and relates to a face detection method based on context reasoning in an unconstrained scene. Background technique [0002] The popularity of intelligent terminal equipment has profoundly affected the way of thinking of human beings, and has a new definition of its social nature. Face detection is the most suitable application for daily life in the field of computer vision. It frees humans from heavy visual processing work and uses machines to analyze and summarize specified information in images and videos. had a profound impact. On smartphones, iPhone X and Huawei Mate20pro realize 3D face recognition unlocking on IOS platform and Android platform respectively, which better protects privacy; in security monitoring, face recognition technology can be used to track and capture criminals and strengthen In terms of property security, Alipay took the lead in launching facial recognition pa...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62
CPCG06V40/161G06F18/253G06F18/214
Inventor 徐琴珍杨哲邵文韬刘茵茵侯坤林朱颖杨绿溪
Owner SOUTHEAST UNIV
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