RESULTS We applied this method to the 3d rigidity registration of CT and MR and achieved good result.
结果我们把此方法应用于CT和MR图像的三维刚性配准，取得了较好的配准效果。
To the key technique, range images registration, of 3D digital modeling, this article presents a new method for estimating initial transform parameters.
针对三维造型技术中的关键技术，深度图像的匹配，本文提出了一种得到匹配初值的新方法“可视化匹配”。
In this paper, the method of frame registration based on the coded points is proposed and large surface is measured through 3d reconstruction and 3d scanning with structured light.
提出了基于编码标志点的框架拼接法，采用数码相机三维重构与结构光三维扫描技术相结合的方法，实现了大面积形体的三维精确测量。
Abstract : In order to realize 3D shape acquisition for large free surface, a data registration method using optical location tracking technology was proposed.
摘要 ：为了实现大型自由曲面的三维面型测量，提出了采用光学定位跟踪技术的数据拼接方法。
A new 3d face pre-registration method based on accurate principal axes analysis is proposed in this paper.
论文提出了一种基于精确主轴分析的三维人脸预配准方法。
In the part of "3d face registration", feature points based pie-registration method is implemented with the help of feature points location method.
三维人脸配准方面，通过和标志点定位结合，实现了基于标志点的粗配准方法。
In this paper, a new method for the global registration of the CAD modeling data to the 3d measured data is presented.
针对多点成形件成形误差检测中的三维数据配准问题，提出了一种用两步法将CAD模型数据和三维测量数据点全局配准的方法。
This paper mainly discusses how principal axis transform method can be used in 3D MRI image registration, especially about the registration of MRI image with the normal brain template.
文章主要讨论了如何把主轴变换法应用于三维MRI图像的校准中，重点研究了MRI图像与标准模板的校准。
A data registration method based on planar baseline target is proposed for the 3d data registration problem in vision measurement.
针对视觉测量中三维数据的拼接问题，提出一种基于平面基线靶标的数据拼接方法。
A data registration method based on planar baseline target is proposed for the 3d data registration problem in vision measurement.
针对视觉测量中三维数据的拼接问题，提出一种基于平面基线靶标的数据拼接方法。
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