Laser & Optoelectronics Progress, Volume. 56, Issue 20, 201002(2019)

Research on Face Image Optimization Method Based on Face Clustering in Video

Chang Wang, Rongyi Cui, Jingxuan Jin*, and Xiaofeng Jin
Author Affiliations
  • Laboratory of Intelligent Information Processing, College of Engineering, Yanbian University, Yanji, Jilin 133002, China
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    Figures & Tables(13)
    Structure of residual block
    Diagram of angle in three-dimensional space
    Part of the face detection results
    Clustering results
    Face image of folder 6
    Face images of folder 7
    Face image of folder 3
    Preferred results of the edge statistical feature method
    Preferred results of the variance method
    Preferred results of the mean method
    Unobstructed face with deflection. (a) Original image; (b) center line; (c) vertical projection; (d) deflection distance
    Undeflected face with occlusion. (a) Original image; (b) center line; (c) vertical projection; (d) deflection distance
    • Table 1. Comparison of evaluation factors

      View table

      Table 1. Comparison of evaluation factors

      Preferred methodAngle deflectionDegree of closed eyesDegree of occlusionSharpnessExpression
      Edge statistical feature methodüûûüû
      Algorithm of this paperüüüüû
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    Chang Wang, Rongyi Cui, Jingxuan Jin, Xiaofeng Jin. Research on Face Image Optimization Method Based on Face Clustering in Video[J]. Laser & Optoelectronics Progress, 2019, 56(20): 201002

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    Paper Information

    Category: Image Processing

    Received: Feb. 17, 2019

    Accepted: Apr. 25, 2019

    Published Online: Oct. 22, 2019

    The Author Email: Jingxuan Jin (50774531@qq.com)

    DOI:10.3788/LOP56.201002

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