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Method and system for retrieving human face on the basis of Haar classifier and ORB characteristics

A retrieval system and classifier technology, applied in the field of face retrieval, can solve the problems of inaccurate images and slow retrieval speed of face retrieval

Inactive Publication Date: 2014-04-23
许雪梅
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Problems solved by technology

[0004] The purpose of the present invention is to provide a face retrieval method and system based on Haar classifier and ORB features, aiming to solve the problems of inaccurate face retrieval images and slow retrieval speed in the prior art

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  • Method and system for retrieving human face on the basis of Haar classifier and ORB characteristics
  • Method and system for retrieving human face on the basis of Haar classifier and ORB characteristics
  • Method and system for retrieving human face on the basis of Haar classifier and ORB characteristics

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Embodiment Construction

[0042] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0043] Such as figure 1 Shown, a kind of face retrieval method based on Haar classifier and ORB feature of the present invention comprises the following steps:

[0044] S1. Applying the Haar classifier algorithm to detect the digital image to be retrieved to obtain the face to be retrieved.

[0045] S2. Acquiring a digital image containing a target face, and performing prescribed preprocessing on the target face and the area image of the face to be retrieved, and then extracting ORB feature points using the ORB feature method.

[0046] In step S2, pre-processing of the regional image includes: no...

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Abstract

The invention provides a method and a system for retrieving a human face on the basis of a Haar classifier and ORB characteristics. In the invention, strong classifiers are obtained by training classifiers, the Haar classifier is obtained after screening and cascading all the strong classifiers, and then existence of the human face in an image to be retrieved is detected by the Haar classifier. Accuracy of the classifier is enhanced by a screening type cascading mode, and speed of an algorithm is accelerated by using an integration graphic algorithm; and then the ORB characteristics are extracted from the detected human face region image and clustered and matched, and characteristic points of the ORB characteristics are detected via direct comparison of gray values of central points and surrounding field pixel points. Existence of the human face in the image to be retrieved can be rapidly detected and accurate matching can be performed so that the method can be widely applied to rapid retrieving of the target human face in a large amount of video or image databases, and has high market application value in practical applications like rapid searching of crime target tracks for a public security monitoring system.

Description

technical field [0001] The invention belongs to the technical field of face retrieval, and in particular relates to a face retrieval method and system based on a Haar classifier and ORB features. Background technique [0002] With the rapid development of various camera equipment and display media technologies, video images are widely used in security, access control identification, video conferencing and other fields. Images and videos have become one of the main carriers of human information transmission and storage. However, in the face of today's massive and even exponentially increasing picture and video information, how to quickly and effectively retrieve the required picture or video information has become an urgent need. [0003] The research on content-based image / video analysis and retrieval is very complicated and difficult due to the unstructured and semantic gap of image and video content. However, in recent years, as face recognition technology has made major ...

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Application Information

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IPC IPC(8): G06K9/66G06K9/46
Inventor 许雪梅周立超丁家峰尹林子丁一鹏曹粲
Owner 许雪梅
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