传统上，用计算机进行人脸识别是基于局部区域的特征例如眼睛、鼻子的形状，或者嘴巴宽度等。

Traditionally, computer face recognition is based on such factors as the characteristics of the eye region, the shape of the nose, or the width of the mouth.

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这样可以识别在项目整个运行时间中覆盖较少范围的区域，可以显示测试的什么位置需要按行展开有代码变更和增添新特征的区域。

This can identify areas of the project that achieve less coverage over time, to show where testing needs to expand in line with code changes and added features.

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对于海面图像，分别采用感兴趣舰船目标区域的方差值、目标和背景亮度对比度这两个特征对目标进行融合识别。

As to sea image, the variance feature of region of interest and the luminance contrast feature between target and background are used to fusion recognition.

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