通过捕捉眼睛照明点进行人脸识别

N. Singh
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引用次数: 1

摘要

这里提出了一种方法,该方法通过捕捉在眼睛中心(即角膜)创建的独特照明点来识别人脸。每当我们在灯光下或在光源前时,这个照明点总是存在的。该算法通过在样本面部上运行边缘检测器来工作。所述边缘检测器产生代替所述照明点的暗点和代替所述角膜起点的半圆弧。这个弧线和暗点作为一个独特的模板来捕捉图像中的眼睛,然后我们提取其他特征,如眉毛,唇线和下巴线。接下来,我们计算每个特征与其他特征之间的垂直距离,并使用这些距离参数来识别人脸。
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Face recognition by capturing eye illumination spot
Here a method is presented which recognizes a face by capturing a unique illumination spot created in the centre of the eye i.e. the cornea. This illumination spot is always there whenever we are in light or in front of a light source. This algorithm works by running an edge detector on a sample face. The edge detector produces a dark spot in place of the illumination spot and a semicircular arc in place of the beginning of the cornea. This arc and the dark spot act as a unique template for capturing eye in the image and following this we extract other features i.e. eyebrows, lip line and chin line. Following this we calculate the vertical distance of each feature from every other feature and use these distance parameters to recognize faces.
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