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A fast face detection method based on multi-layer preprocessing

A face detection and preprocessing technology, applied in the field of face detection, can solve problems such as slow operation of convolutional neural networks, achieve high accuracy and improve running speed.

Active Publication Date: 2022-07-15
NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0004] In view of the above problems, the present invention provides a fast face detection method based on multi-layer preprocessing, which combines a variety of image processing methods and convolutional neural network technology, the purpose of which is to solve the relatively slow problem of convolutional neural network operations

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  • A fast face detection method based on multi-layer preprocessing
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  • A fast face detection method based on multi-layer preprocessing

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Embodiment Construction

[0042] Below in conjunction with accompanying drawing and specific embodiment, the technical scheme of the present invention is further elaborated:

[0043] A fast face detection method based on multi-layer preprocessing, such as figure 1 The specific operation steps are as follows:

[0044] Step 1: Convert the color space of the input image from the default RGB color space to the YCbCr color space. This is because YCbCr separates the brightness and chromaticity of the color, so it is more suitable for the scene of color classification under different lighting conditions .

[0045] Since most of the encoding of images or videos in the computer field is based on the RGB color space, to use YCbCr, it is necessary to convert the RGB color space to the YCbCr color space first. Because the sensitivity of the human eye to the three colors of red, green and blue is not the same, it is necessary to give different weights to red, green and blue when converting the brightness Y. The ...

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Abstract

The invention discloses a fast face detection method based on multi-layer preprocessing, and the specific steps include the following steps: converting the input original image to color space; extracting the skin color area in the image by using an ellipse skin color model; correcting through morphological operations skin color area; generate the frame to be tested by an effective search position filtering method; merge the frames to be tested with excessive overlap; use a convolutional neural network to detect each frame to be tested one by one; calculate the coordinates of the final face positioning frame and output. The invention can reduce the size of the required search area through multi-layer preprocessing technology while retaining the high accuracy rate of the face detection convolutional neural network, thereby greatly improving its running speed.

Description

technical field [0001] The invention relates to the field of target detection, in particular to a method for fast and accurate face detection through multi-layer preprocessing. Background technique [0002] Face recognition technology is an important technology that is widely used in various monitoring, security, personnel management and image production fields. Face recognition technology includes two parts: face detection and distinction. Face detection refers to finding the positions of all faces in the image, while face discrimination can determine whether two faces are the same person. Face detection is the basis of face recognition technology, because the next step can only be done if the position of all faces is found first. [0003] Face detection, as a subfield of object detection, has many mature algorithms, such as Haar cascade classifiers that combine digital image features and classification algorithms or convolutional neural networks in the field of deep learn...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V40/16G06V10/82G06V10/56G06V10/34G06N3/04G06N3/08
CPCG06N3/08G06V40/161G06V40/168G06V40/172G06N3/045Y02T10/40
Inventor 张晖叶子皓赵海涛孙雁飞朱洪波
Owner NANJING UNIV OF POSTS & TELECOMM