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Method and system for positioning eyes

A technology of eye positioning and eye position, applied in the computer field

Active Publication Date: 2014-05-14
北京海鑫科金高科技股份有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, this method involves exhaustive search many times in the positioning process, including exhaustive search of candidate areas to find eye positions and exhaustive search of all candidate eye pairs, which greatly improves the positioning time of the algorithm, and is suitable for applications with high real-time requirements scene, the algorithm has certain limitations

Method used

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  • Method and system for positioning eyes

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Experimental program
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Embodiment 1

[0075] Embodiment 1 of the present invention proposes an eye positioning method, see figure 1 , including the following steps:

[0076] Step 101: Preprocess several images as input samples, and preprocess several pairs of eye position coordinates as target samples.

[0077] Step 102: Using the input samples and target samples to train a combined classifier.

[0078] Step 103: Preprocessing the image to be positioned and inputting it into the combined classifier to obtain eye position coordinates corresponding to the image to be positioned.

[0079] It can be seen that in the embodiment of the present invention, the relationship between the original image and the eye-to-position coordinates is directly used for eye positioning, and several images are used as input samples, and several pairs of eye position coordinates are used as target samples to train the combined classifier, and finally the The original image to be positioned is input into the trained combination classifie...

Embodiment 2

[0081] A preferred implementation process of the present invention will be described in more detail below through Embodiment 2. see figure 2 , image 3 , Figure 4 and Figure 5 , the process includes the following steps:

[0082] Step 201: Preprocess several original images as input samples.

[0083] In this step, before performing face detection on the original image, preliminary processing is required on the original image, the main purpose is to increase the variety of samples, see image 3 shown. Commonly used image processing methods can be used here to process the image, including: noise addition, rotation, blurring, etc. In order to simulate fisheye lens imaging, radial distortion processing is also added. Various changes are randomly applied to the training samples with a certain probability, which not only increases the variation of samples, but also increases the number of samples.

[0084] Perform face detection on the processed image to obtain several face...

Embodiment 3

[0142] Embodiment 3 of the present invention also proposes an eye positioning system, see Figure 6 , the system consists of:

[0143] The preprocessing module 601 is used to preprocess several images as input samples, and preprocess several pairs of eye position coordinates as target samples;

[0144] A combined classifier training module 602, configured to train a combined classifier using the input samples and target samples;

[0145] The positioning module 603 is configured to preprocess the image to be positioned and then input it into the combination classifier to obtain eye position coordinates corresponding to the image to be positioned.

[0146] Wherein, the preprocessing module 601 includes an input sample preprocessing subunit 6010 and a target sample preprocessing subunit 6011, wherein,

[0147] The input sample preprocessing subunit 6010 is used to perform face detection on several images to obtain several face detection images;

[0148] Normalize several face de...

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Abstract

The invention provides a method and system for positioning eyes. The method includes the steps that a plurality of images are preprocessed and then serve as input samples, and a plurality of eye position coordinates are preprocessed and then serve as target samples; a combined classifier is trained by means of the input samples and the target samples; images to be positioned are preprocessed and then input to the combined classifier, so that eye position coordinates corresponding to the images to be positioned are obtained. According to the method and system, the eyes can be positioned quickly and accurately.

Description

technical field [0001] The invention relates to the technical field of computers, in particular to an eye positioning method and system. Background technique [0002] Eye positioning technology is mainly used in related fields such as face recognition and expression recognition. Its main goal is to accurately locate the position of eyes in complex backgrounds, which is the core link between two-dimensional image data and higher-level cognition. [0003] At present, the problem of eye positioning is basically solved based on the method of learning. The method based on learning mainly uses the method of extracting features and training the classifier model to locate the eyes. The method based on learning can well adapt to the complexity of the external environment. Change is the mainstream method in the field of eye positioning. In the learning-based eye positioning method, there are many related researches, among which an eye positioning method with better effect is achieved...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/66
Inventor 刘晓春赵元兴王贤良
Owner 北京海鑫科金高科技股份有限公司
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