基于最大熵分割和肤色模型的人眼定位

人眼定位是进行虹膜识别、视线跟踪、眼睛状态分析等的首要任务，为此提出一种基于最大熵分割和肤色模型的人眼定位方法。利用最大熵分割法对图像进行分割，获得人眼候选区域。建立YCbCr肤色模型，将其作为人眼定位的约束条件以排除非人眼区域，通过形态学运算准确定位人眼。仿真实验表明，该方法对人眼定位准确，并对背景、头部偏转角度等细节具有较好的适应性，运算速度较快。

Eyes Location Based on Maximum Entropy Segmentation and Skin Model

Eyes location is the priority of iris identification, eye tracking and state recognition. A method for eyes location based on maximum entropy segmentation and skin model is proposed. Image segmentation based on maximum entropy is used to segment the image and candidate regions of eyes are obtained. YCbCr skin model is built as constraint condition of eyes location, and morphological operations are used to obtain precise eyes location. Simulations show that this method can not only precisely and fast locate eyes position, but also adapt to process the image in different background, such as head existing rotation and image itself contain details.