Glass detection method and system for face recognition

A technology for glasses detection and face recognition, which is applied in the field of glasses detection methods and systems for face recognition, can solve the problems of single feature extraction, low classification performance, single classifier, etc., achieve strong stability and discrimination ability, and reduce feature The effect of dimensionality and complexity reduction

Active Publication Date: 2015-03-25
智慧眼科技股份有限公司
View PDF6 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The invention provides a glasses detection method and system for face recognition to solve the technical problems of low classification performanc

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Glass detection method and system for face recognition
  • Glass detection method and system for face recognition
  • Glass detection method and system for face recognition

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

[0055] The embodiments of the present invention are described in detail below with reference to the accompanying drawings, but the present invention can be implemented in many different ways as defined and covered by the claims.

[0056] A preferred embodiment of the present invention provides a glasses detection method for face recognition. The feature classifier used in the glasses detection method in this embodiment has the characteristics of low feature dimension, good feature description stability and high classification accuracy. The feature classifier classifies the face image to be tested, and has the characteristics of high computing efficiency and high detection accuracy. refer to figure 1 , the glasses detection method of this embodiment includes:

[0057] Step S101, acquiring an image of the glasses area from the face image to be tested;

[0058] In an optional embodiment, the step of acquiring an image of the glasses region may include:

[0059] Perform face de...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a glass detection method and system for face recognition. The glass detection method comprises the steps that glass region images are obtained from a face image to be detected; the glass region images are classified through a feature classifier, and a detection result is obtained; the feature classifier is generated in the mode that a preset number of partition regions are selected from a feature pool and used as feature selections; feature values of multiple partition regions corresponding to the feature selection of each sample are extracted, and the feature values of the multiple partition regions are combined to be used as descriptions of the samples; the multiple samples are trained through a support vector machine SVM classifier, so that a model of the feature classifier is obtained. According to the glass detection method and system for face recognition, the stability of the feature descriptions and the distinguishing capacity of the adopted feature classifier are high; besides, compared with full-image feature extraction, the classification feature difficulty is greatly reduced, the complexity of classification operation is lowered, and the operation speed and the detection speed are both increased.

Description

technical field [0001] The invention relates to the field of biological pattern recognition, in particular to a method and system for detecting glasses for face recognition. Background technique [0002] Since most people wear glasses, it is of great practical value to improve the performance of face recognition algorithms, face synthesis, and face cartoons by detecting whether glasses are worn in the face image and calculating the position and shape of the glasses. For example, in face recognition, if the position of glasses is detected in a face wearing glasses, a naked face without glasses can be obtained by removing the glasses. [0003] Due to the influence of factors such as the diversity of glasses shapes and image quality, there are many difficulties in glasses detection. Existing glasses detection can be realized by image processing or pattern recognition methods. Image processing methods include edge and color detection, etc. Since the glasses part has obvious hor...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/171G06V40/172G06F18/2411
Inventor 孔凡静申意萍
Owner 智慧眼科技股份有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products