近年来，3维目标建模一直是计算机视觉及摄影测量领域的研究热门，其中拍摄目标的相机(或摄像机)定标是问题的关键之一。
In recent years, many researches is about building 3d object model in the fields of computer vision and photogrammetry, and camera calibration becomes the key problem.
兴趣点检测是许多计算机视觉应用的基础，如：摄像机定标、三维重建、图像匹配、视频检索、运动估计等。
The detection of interest points is the basis of kinds of computer vision applications, such as: camera calibration, 3d reconstruction, image matching, video retrieval, motion estimation, etc.
方法采用了三种著名的人工髋关节置换术评定标准，利用网络技术和计算机对数据进行采集整理和分析。
Methods Based on three famous assess standards of hip joint replacement, and web technology, the computer can collect and analysis the data of the patient.
摄像机定标：摄像机定标是大多数计算机视觉任务的重要前提。
Camera calibration: Camera calibration is an important prerequisite for most computational vision tasks.
摄像机定标：摄像机定标是大多数计算机视觉任务的重要前提。
Camera calibration: Camera calibration is an important prerequisite for most computational vision tasks.
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