Facial feature point location is one of the fundamental and crucial problems in the field of facial recognition, computer vision and graphics.
人脸面部的关键特征点定位既是人脸识别研究领域中的一个关键问题，也是计算机视觉和图形学领域的一个基本问题。
Feature point matching is a key problem of computer vision and is frequently used in object recognition, image retrieval and 3d reconstruction and so on.
图像序列中的特征点匹配是计算机视觉中的一个基本问题，也是目标识别、图像检索以及3维重建等问题的基础。
Other preprocessing methods such as discrete curvature estimation and feature point extraction are also studied, and a section-feature recognition algorithm, based on curve fitting, is proposed.
研究了用圆弧曲率估算截面数据离散曲率的方法和特征点提取方法，提出了基于曲线拟合的截面特征识别方法。
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