融合二级评价指标的人脸图像质量评价方法

doi:10.6040/j.issn.1672-3961.1.2015.160

山东大学学报(工学版) ›› 2016, Vol. 46 ›› Issue (2): 6-13.doi: 10.6040/j.issn.1672-3961.1.2015.160

融合二级评价指标的人脸图像质量评价方法

邹国锋¹,傅桂霞¹,李震梅¹,李海涛¹,王科俊²

1. 山东理工大学电气与电子工程学院, 山东淄博 255049;2. 哈尔滨工程大学自动化学院, 黑龙江哈尔滨 150001

收稿日期:2015-05-12 出版日期:2016-04-20 发布日期:2015-05-12
作者简介:邹国锋(1984— ),男,山东泰安人,讲师,博士,主要研究方向为人脸检测与识别,生物特征识别与智能监控,模式识别理论及应用. E-mail:zgf841122@163.com
基金资助:
山东省自然科学基金博士基金资助项目(ZR2015FL029);国家自然科学基金青年科学基金资助项目(51407112)

Face image quality evaluation method based on the fusion of two level evaluation indexes

ZOU Guofeng¹, FU Guixia¹, LI Zhenmei¹, LI Haitao¹, WANG Kejun²

1. College of Electrical and Electronic Engineering, Shandong University of Technology, Zibo 255049, Shandong, China;
2. College of Automation, Harbin Engineering University, Harbin 150001, Heilongjiang, China

Received:2015-05-12 Online:2016-04-20 Published:2015-05-12

摘要/Abstract

摘要： 针对姿态和光照对人脸的干扰,提出基于子区域直方图距离的人脸对称度评价,用于评估非对称光照和姿态对人脸质量的影响。提出针对含有人脸的原始图像质量的第一级评价与针对人脸有效区域的第二级评价相融合的评价策略,第一级评价的反馈信息能有效指导图像采集环境构建和改善,为后期人脸检测和识别提供优质图像源。主要评价指标包括:对比度、适宜度、对称度、清晰度、人脸有效区域面积等物理参数。实验结果表明了本研究提出的对称度评价方法和融合二级指标评价策略的可靠性与准确性。

关键词: 适宜度, 子区域直方图, 有效区域面积, 对比度, 人脸图像质量评价, 对称度, 清晰度

Abstract: To overcome the influence of face pose and illumination, the face symmetry degree evaluation method based on sub-regions histogram distance was proposed, which could be used to evaluate the effect on face quality of asymmetric illumination and pose. A novel evaluation strategy was proposed, which was the fusion of the first level evaluation index for the original natural image including face and the second level evaluation index for face effective area. The feedback information of the first level evaluation could effectively guide the construction and improvement of image acquisition environment, to provide high quality image source for the latter part of face detection and recognition. The main evaluation indexes included contrast degree, suitability degree, symmetry degree, clarity and effective area. Experiment results showed that the proposed symmetry degree evaluation method and the fusion strategy of two level evaluation indexes had good reliability and accuracy.

Key words: symmetry degree, suitability degree, sub-regions histogram distance, effective area, face image quality evaluation, contrast degree, clarity

中图分类号:

TP391.41

邹国锋,傅桂霞,李震梅,李海涛,王科俊. 融合二级评价指标的人脸图像质量评价方法[J]. 山东大学学报(工学版), 2016, 46(2): 6-13.

ZOU Guofeng, FU Guixia, LI Zhenmei, LI Haitao, WANG Kejun. Face image quality evaluation method based on the fusion of two level evaluation indexes[J]. JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE), 2016, 46(2): 6-13.

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融合二级评价指标的人脸图像质量评价方法

Face image quality evaluation method based on the fusion of two level evaluation indexes

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