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Facial image sample acquiring and optimizing method based on heterogeneous active vision network

A technology of image samples and optimization methods, applied in the field of face recognition, can solve the problems of insufficient resolution of face images, poor results, and insufficient posture angles.

Active Publication Date: 2013-09-18
TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

At this time, the resolution of the collected face image samples is often not high enough; the attitude angle is not positive enough, or the different attitude angles are not rich
Such face image samples are not effective in face registration and recognition

Method used

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  • Facial image sample acquiring and optimizing method based on heterogeneous active vision network
  • Facial image sample acquiring and optimizing method based on heterogeneous active vision network
  • Facial image sample acquiring and optimizing method based on heterogeneous active vision network

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Embodiment Construction

[0040] The present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments.

[0041] This embodiment is described in detail in three parts.

[0042] (1) Evaluation Criteria for Face Image Samples

[0043] Indicators of the impact of face image samples on face registration and face recognition, including image compression rate, target distance, target expression, etc. Referring to the research in the field of face recognition and the indicators that can be changed by active vision technology, this technology selects two indicators of resolution and attitude angle, that is, the resolution of the face area and the attitude angle of the face in the image. The face area is usually rectangular, such as 40×60 in size (the unit is wide pixel×long pixel), which can be described by the width pixel value r=40. The face pose angle p is described in terms of angles from -90° to +90° from left to right.

[0044] The empirical eval...

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Abstract

The invention discloses a facial image sample acquiring and optimizing method based on a heterogeneous active vision network; the vision network comprises a target detecting, tracking and positioning camera and a target facial image sample acquiring camera, wherein the acquiring camera can be composed of a Pan / Tilt / Zoom (PTZ) camera and a movable camera; in an acquiring process, directing at each acquiring time, all cameras perform target distribution and parameter adjustment, acquire the facial image sample of one target and optimize the evaluation of the facial image sample, wherein the image evaluation is obtained by image treatment and mathematical analysis according to the background knowledge of the face recognition study; directing at single target / multiple targets, the target route can be predetermined / be unknown, the mobile camera can be set or removed, the acquiring method is designed specifically; and furthermore, the facial image sample with higher resolution and rich attitude angle acquired by the method can be used for the face register and recognition.

Description

technical field [0001] The invention belongs to the technical field of face recognition, in particular to a face image sample acquisition and optimization method based on a heterogeneous active vision network. Background technique [0002] Face recognition technology has rich application value, such as in identity verification, legal affairs and surveillance, entertainment and other application scenarios. Face recognition technology mainly includes face image sample collection, sample image preprocessing, classifier training (also known as face registration) and sample recognition (also known as face recognition). less. [0003] In human-computer interaction application scenarios (such as identity verification and entertainment), there are already some studies on sample collection. These technologies and research usually use the rotation and zoom of the camera installed on the robot, as well as the movement of the robot itself, to collect face image samples with appropriat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 张涛李潇涵陈宋成宇陈学东孙昊李何羿
Owner TSINGHUA UNIV
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