| 1. | Self - calibration of rotating cameras using conic correspondences
基于二次曲线的纯旋转摄像机自标定 |
| 2. | If we can acquire two sets of images which is taken from different view point , 3d reconstruction can be realized
如果获得不同视点下的两组纯旋转图像，即可以实现三维重构。 |
| 3. | ( 2 ) study how to realize camera self - calibration directly from image sequence under special imaging condition ( camera pure rotation )
( 2 )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。 |
| 4. | In the investigation of virtual scene modeling techniques , the virtual scene modeling method based on camera rotating movement has the characteristic of simpleness and convenience
在虚拟场景建模技术的研究中,基于摄像机纯旋转运动的虚拟场景构建方法具有简单方便的特点。 |
| 5. | The motion models and the corresponding motion equations for pure rotation and pure translation are established respectively . several algorithms are proposed for calculating the pure rotational motion parameters and the pure translation motion ones using correspondence of conic curves respectively
建立了刚体纯旋转运动和纯平移运动模型及其相应的运动方程，提出了计算刚体纯旋转运动和纯平移运动参数的相应算法。 |
| 6. | Based on the model of perspective projection where the camera is fixed whereas the object is motive , the problem of recovering the three - dimensional motion and structure of a rigid object from image sequences by using of correspondence of conic curves is researched
本文基于视点固定而物体运动的透视投影模型，研究了使用二次曲线对应从序列图像恢复刚体三维运动和结构参数的问题。分别研究了刚体作纯旋转运动和纯平移运动时，刚体运动参数的求解问题。 |
| 7. | It is shown that a system of linear equations is resolved to obtain the rotational parameters by using of seven couple of conic curves in image sequences when the motion of a rigid object is pure rotational . when the motion of a rigid object is pure translation , a system of non - linear equations is resolved using iterative method , or using the method for resolving quartic equation . the translation parameters with a scale factor may be determined and the translation direction can be obtained
研究结果表明，在纯旋转运动分析中，最少利用图像序列中7条对应二次曲线，可以线性地求解刚体旋转运动参数；在纯平移运动分析中，只需利用图像序列中1条对应二次曲线就可以求解刚体相对平移运动参数(即平移方向) ，分别用非线性迭代法和一元四次方程解法求解了刚体相对平移运动参数(即平移方向) 。 |
| 8. | Camera calibration is a very important part in 3d reconstruction , in this paper the discuss on camera calibration is divided into three parts : ( l ) scene structure information based camera calibration ; ( 2 ) camera initiative information ( pure rotation ) based camera self - calibration ; ( 3 ) camera self - calibration which is independent of scene structure information and camera initiative information
在三维重构的过程中摄像机标定是一个及其重要环节，本文对摄像机标定的研究分为三个部分： ( 1 )基于场景结构信息的标定； ( 2 )基于摄像机主动信息(纯旋转)的自标定； ( 3 )不依赖场景结构和摄像机主动信息的自标定。 |
