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Face detection method and device

A face detection and image technology, applied in the field of biometric identification, can solve the problem that the speed is difficult to achieve real-time

Active Publication Date: 2019-02-01
艾智科技技术(深圳)有限公司 +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The ACF feature needs to calculate at least 10 eigenvalues, and it is difficult to meet the real-time requirements by using the traditional CPU serial calculation method.

Method used

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  • Face detection method and device

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Embodiment Construction

[0023] In order to facilitate the understanding of the present invention, the present invention will be described more fully below with reference to the associated drawings. Preferred embodiments of the invention are shown in the accompanying drawings. However, the present invention can be embodied in many different forms and is not limited to the embodiments described herein. On the contrary, these embodiments are provided to make the understanding of the disclosure of the present invention more thorough and comprehensive.

[0024] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention. The terms used herein in the description of the present invention are for the purpose of describing specific embodiments only, and are not intended to limit the present invention. As used herein, the term "or / and" includes any and all combinations of one or more of ...

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Abstract

A face detection method and device, performing multi-scale scaling on a test image according to an image scaling factor to obtain multiple scaled images; parallel calculation of the ACF feature value of each pixel of the multiple scaled images; using preset face detection The active window detects all sub-windows of each said scaled image in turn; uses a judgment model according to said ACF eigenvalues ​​to judge whether each said sub-window is a human face; when judging said sub-window is a human face, record said sub-window window information, and determine the face area in the image to be tested according to the information. Because the judgment model is used according to the ACF eigenvalues ​​to judge whether each sub-window is a human face, the judgment result is accurate and the precision is high; because the calculation of the ACF eigenvalues ​​is calculated in a parallel manner, the above-mentioned face detection method and device are fast , high real-time performance.

Description

technical field [0001] The invention relates to the field of biological feature recognition, in particular to a face detection method and device. Background technique [0002] The steps of the most commonly used face detection method at this stage are: extracting the haar feature of the original image to obtain the feature map; performing multi-scale scaling on the original feature map; scanning the feature map at each scale according to a fixed-size sliding window to obtain sub-window features Figure; Use the adaboost decision tree algorithm to determine whether it is a face for each sub-window. [0003] The Haar feature extraction speed is faster, but the description of facial features is not accurate enough, resulting in lower accuracy and more false alarms. An improved method is to use Aggregate Channels Features (ACF) for short, which includes image Luv features, gradient modulus features, HOG features, etc. The ACF feature needs to calculate at least 10 eigenvalues, ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/168G06V40/172
Inventor 陈榕齐
Owner 艾智科技技术(深圳)有限公司