根据光学三角原理，可以求出该夹角的大小，然后结合检测器的结构参数可以计算出管道相应位置的曲率半径。

The Angle can be calculated based on principle of optical triangulation and so the curvature of corresponding position based on structure parameters.

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本文采用该算法训练人脸面部特征检测器，提取区域的几何中心进行面部特征点定位，获取以双眼和嘴巴为特征顶点的人脸特征三角形。

The thesis uses the method to train face feature classifier, to get the face feature points and build face feature triangle that uses eyes and mouth as vertexes.

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为了实现长、细管道内表面三维形貌检测，基于光学三角原理研制了一种新型检测器。

For inspecting the 3d shape and appearance of the inner surface of long and tiny pipe, a new type of sensor was proposed based on the principle of optical triangulation.

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