Method for camera calibration is an important problem in the application of computer vision.
摄像机标定方法是计算机视觉应用中的一个重要问题。
Self calibration of a camera with a linear model (hereafter called a linear camera) has become one of the major research directions in computer vision field.
线性(小孔)模型摄像机自标定，目前已成为计算机视觉领域的研究热点之一。
External parameters calibration for digital camera is a key technology for field measurement and image processing while using computer vision.
数码相机的外部参数标定是应用计算机视觉进行现场测量和图像处理的关键技术。
A four points calibration method was developed to eliminate the problem of spatial synchronization of lidar and computer vision systems in the sensor fusion system of intelligent vehicles.
为解决应用雷达与机器视觉的智能车信息融合系统的空间同步问题，提出了对两种传感器进行空间同步的四点标定方法。
Camera calibration is the base of the measuring traffic accident scene using computer vision theory.
照相机内外参数的标定是利用计算机视觉理论进行交通事故现场测量的基础。
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.
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 calibration of image measurement system is the basis and prerequisite of acquiring 3d information adopting computer vision technology.
图像测量系统标定是计算机视觉获取三维信息的前提和基础。
Most applications of computer vision are limited by the complexity of calibration process and 3d vision measurement system is not an exception.
标定过程的复杂性制约着计算机视觉技术的应用，三维激光扫描系统也不例外。
Calibration of camera is one of the key technologies of Computer Vision.
摄像机标定技术是计算机视觉研究中的关键技术之一。
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.
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。
This paper proposed a new camera self-calibration method based on image sequences, which combined the theory of photogrammetry and computer vision.
提出了一种新的结合摄影测量和计算机视觉相关理论的摄像机自标定方法。
This paper proposed a new camera self-calibration method based on image sequences, which combined the theory of photogrammetry and computer vision.
提出了一种新的结合摄影测量和计算机视觉相关理论的摄像机自标定方法。
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