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The Impact of Asymmetric Left and Asymmetric Right Face Images on Accurate Age Estimation

机译:不对称左和不对称右面图像对准确年龄估计的影响

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摘要

Aging affects left and right half face differently owing to numerous factors such as sleeping habits, exposure to sun light, and weaker face muscles of one side of face. In computer vision, age of a given face image is estimated using features that are correlated with age, such as moles, scars, and wrinkles. In this study we report the asymmetric aging of the left and right sides of face images and its impact on accurate age estimation. Left symmetric faces were perceived as younger while right symmetric faces were perceived as older when presented to the state-of-the-art age estimator. These findings show that facial aging is an asymmetric process which plays role in accurate facial age estimation. Experimental results on two large datasets verify the significance of using asymmetric right face image to estimate the age of a query face image more accurately compared to the corresponding original or left asymmetric face image.
机译:由于诸如睡眠习惯,阳光照射的诸如诸如睡眠习惯的众多因素,以及脸部的一侧的面部肌肉较弱,但衰老会影响左右半面。在计算机视觉中,使用与年龄相关的特征估计给定的面部图像的年龄,例如摩尔,疤痕和皱纹。在这项研究中,我们报告了面部图像的左侧和右侧的不对称老化及其对准确年龄估计的影响。左对称面被认为是年轻的,而当呈现给最先进的年龄估计人时,右对称面是较旧的。这些发现表明,面部衰老是在准确的面部年龄估计中起作用的不对称过程。两个大数据集上的实验结果验证了使用不对称右面图像来估计查询面部图像的年龄的重要性,与相应的原始或左不对称面部图像相比更准确地进行准确。

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  • 来源
    《Mathematical Problems in Engineering》 |2019年第5期|8041413.1-8041413.10|共10页
  • 作者单位

    Mirpur Univ Sci & Technol Dept Elect Engn Mirpur 10250 Pakistan;

    Mirpur Univ Sci & Technol Dept Elect Engn Mirpur 10250 Pakistan;

    Mirpur Univ Sci & Technol Dept Software Engn Mirpur 10250 Pakistan;

    Govt Coll Univ Faisalabad Dept Comp Sci Faisalabad Pakistan;

    Mirpur Univ Sci & Technol Dept Software Engn Mirpur 10250 Pakistan;

    Korea Univ Technol & Educ Sch Comp Sci & Engn 1600 Chungjeolno Byeogchunmyun 31253 Cheonan South Korea;

    Korea Univ Technol & Educ Sch Comp Sci & Engn 1600 Chungjeolno Byeogchunmyun 31253 Cheonan South Korea;

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