提出了一种基于圆环点的新的摄像机自标定方法。
A new easy technique for calibrating a camera based on circular points is proposed.
最后还简要介绍了几种非透视模型下的摄像机自标定方法。
In the end, we also give a brief review of self-calibration techniques under other camera models.
研究探讨了一种基于平面二次曲线的纯旋转摄像机自标定方法。
In this paper, instead of corresponding image points which are widely used in the literature, corresponding image conics are used to calibrate a rotating camera.
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.
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。
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.
主要工 作可以归纳为以下三个方面：1．基于圆环点的摄像机自标定方法研究。
The main work of this thesis consists of the following three parts: 1. Camera Self-calibration Based on Circular Points.
基于平面模板摄像机自标定的新算法，利用正六边形的特性，给出了一种精确求解其外接圆圆心的巧妙方法。
In this paper, we discuss a new method for camera self-calibration based on a plane pattern of equilateral-dodecagon.
提出了一种基于双目立体视觉的摄像机外参数在线自标定算法。
This passage introduces a quick and on-line self-calibration algorithm for external camera parameters based on binocular vision system.
研究了在特殊成像条件（摄像机纯旋转）下直接由图像序列进行自标定的方法。
Study how to realize camera self-calibration directly from image sequence under special imaging condition (camera pure rotation).
研究了在特殊成像条件（摄像机纯旋转）下直接由图像序列进行自标定的方法。
Study how to realize camera self-calibration directly from image sequence under special imaging condition (camera pure rotation).
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