Face attribute classification method based on multilayer depth feature information

A technology of attribute classification and deep features, applied in the field of computer vision, can solve the problems that the effect cannot be applied in practice

Active Publication Date: 2017-05-17
PCI TECH GRP CO LTD
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AI Technical Summary

Problems solved by technology

[0003] Since the effects obtained by common methods cannot be applied in practice, the industry urgently needs a specific method that can accurately analyze the attributes of faces and apply them to actual scenes.

Method used

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  • Face attribute classification method based on multilayer depth feature information
  • Face attribute classification method based on multilayer depth feature information
  • Face attribute classification method based on multilayer depth feature information

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Embodiment 1

[0016] A face attribute classification method based on multi-layer depth feature information, the specific steps are as follows:

[0017] S1: Suppose x is a face image from any angle, y is a frontal image, find f such that f(x)=y, suppose In this way we construct the multilayer f i = θ(w, x), so that f holds true. Here, the w parameter is learned by means of deep learning, so as to find the f function. First, by preprocessing the frontal image, images of different angles are rotated as training pictures, and the corresponding frontal image As the desired result, in order to make the input and output of the network be images of the same size, the feature layer is followed by an upsampling layer, and the loss function uses L2 norm to compare the last feature layer and the front image, and through step-by-step iterative tuning, the last one The feature layer is close to the frontal image, and the finally trained network is the f we are looking for. Through this function, the in...

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Abstract

The invention discloses a face attribute classification method based on multilayer depth feature information. The method includes the following concrete steps: S1, assuming that x is a face image of any angle; S2, using a local feature area extraction algorithm to convert an original image into local information; S3, using a multilayer feature extraction algorithm to extract multilayer feature information; and S4, utilizing a multi-feature fusion algorithm to realize self-adaption and fusion of multidimensional information. The invention provides a face attribute classification technology based on multilayer depth information. The method can effectively identify attributes of a person in a face image, thereby achieving intelligent video monitoring and intelligent judgment functions. A deep learning method is adopted to train face attribute samples, and a network model is divided into a common convolution layer, a feature extraction layer and an attribute classification layer. In the feature extraction layer, multilayer features are connected and multidimensional information is fused, which is helpful for extracting features that exhibit better distinguishing capabilities.

Description

technical field [0001] The invention relates to the technical field of computer vision, in particular to a face attribute classification method based on multi-layer depth feature information. Background technique [0002] Intelligent video surveillance is based on digital and networked video surveillance, but it is different from general networked video surveillance. It is a higher-end video surveillance application. Smart video surveillance systems are able to identify different objects. Find abnormalities in the monitoring screen, and can issue alarms and provide useful information in the fastest and best way, so as to assist security personnel to deal with crises more effectively, and minimize false positives and false positives. Face attribute analysis in intelligent video surveillance is the key technology to realize this link. At present, the commonly used face attribute analysis methods are roughly divided into two categories. One is to use traditional feature extra...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04
CPCG06V40/168G06V40/172G06N3/045
Inventor 丁保剑冯琰一王洋
Owner PCI TECH GRP CO LTD
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