JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE) ›› 2016, Vol. 46 ›› Issue (2): 6-13.doi: 10.6040/j.issn.1672-3961.1.2015.160

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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. 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

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

CLC Number: 

  • TP391.41
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