This paper proposes a high-discriminative facial recognition method that fuses shape and grey-level features of faces. Facial landmark-points are characteristic to individuals, hence can be exploited for recognition. Spatial relationships of these landmark-points, namely their Euclidean distances between each other, are included in the feature set. Besides, the mean grey-level values calculated at the vicinity of these landmark-points are also considered as a discriminative factor and incorporated into the feature set. The results of the comprehensive simulations show the remarkable and competitive performance of the proposed method regarding recognition accuracy, as well as robustness against partial occlusion, noise, expression changes and variances in illumination.

中文翻译：

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一种基于形状和灰度外观的高判别人脸识别方法

本文提出了一种融合人脸形状和灰度特征的高判别人脸识别方法。面部标志点是个体的特征，因此可以用于识别。这些地标点的空间关系，即它们彼此之间的欧几里得距离，都包含在特征集中。此外，在这些地标点附近计算的平均灰度值也被视为判别因素并纳入特征集中。综合仿真的结果表明，所提出的方法在识别准确度方面的显着和有竞争力的性能，以及对部分遮挡、噪声、表情变化和光照变化的鲁棒性。