三维物体识别是计算机视觉研究的一项重要课题。
The three-dimensional object recognition is an important topic in computer vision research.
超二次模型形状匹配计算是应用超二次模型进行三维物体识别的一个关键问题。
The matching computation for 3D shape of superquadric models is one key problem in 3D object recognition with superquadrics.
论文将对偶四元数法应用到三维物体识别的匹配算法中，利用最小二乘的思想提出了一种基于迭代最近点的匹配算法。
Last, we apply the dual quaternion algorithm to matching algorithm of 3d object recognition and make use of least-squares technique to propose a matching method based on iterative closest point.
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