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Human face detection method and system based on convolutional neural network

A convolutional neural network and face detection technology, applied in the field of face detection methods and systems based on convolutional neural networks, can solve problems such as cumbersome steps

Inactive Publication Date: 2018-03-09
四川云图睿视科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] (2) Each step is relatively independent, and the steps are cumbersome to use

Method used

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  • Human face detection method and system based on convolutional neural network
  • Human face detection method and system based on convolutional neural network
  • Human face detection method and system based on convolutional neural network

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Embodiment Construction

[0035] In order to make the purpose, technical solutions and advantages of the invention clearer, the technical solutions in the invention are described clearly and completely below. Apparently, the described embodiments are part of the embodiments of the invention, not all of them. Based on the embodiments of the invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts belong to the protection scope of the invention.

[0036] The invention will be further described below in conjunction with the accompanying drawings:

[0037] as attached figure 1 - attached image 3 As shown, the present invention provides a kind of face detection method and system based on convolutional neural network, comprising following modules:

[0038] A data preprocessing module for processing training data;

[0039] The face detection model design module is used to design the model structure of face detection;

[0040] The face detection model trai...

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Abstract

The invention discloses a human face detection method and a human face detection system based on a convolutional neural network. The system comprises a data preprocessing module used for processing training data; a face detection model design module used for designing a model structure for human face detection; a human face detection model training module used for training an offline module for human face detection; and a human face real-time detection module used for outputting the position of a human face. According to the human face detection method, the finally obtained human face frame position information is the square root of the width and the height of a human face frame. A human face frame predictor is used for predicting the position of the human face, so that each predictor corresponds to a special human face position. Along with the training process of a human face detection model, the result of the human face prediction of each predictor on a specific human face size getsbetter and better.

Description

technical field [0001] The present invention relates to computer vision technology, machine learning and pattern recognition technology, deep learning, artificial neural network, in particular, to a face detection method and system based on convolutional neural network. Background technique [0002] Face detection belongs to the category of computer vision. In the early days, the main research direction of people was face recognition, that is, to identify people’s identities based on faces. Later, the demand for face detection in complex backgrounds increased, and face detection gradually Developed as a separate research direction. [0003] Current face detection methods are generally knowledge-based and statistics-based. The knowledge-based method mainly uses prior knowledge to regard the human face as a combination of organ features, and detects human faces according to the characteristics of eyes, eyebrows, mouth, nose and other organs and the geometric positional relati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/02
CPCG06N3/02G06V40/161
Inventor 刘云楚
Owner 四川云图睿视科技有限公司