摄像机旋转运动下的多帧图像对齐技术

针对传统旋转运动参数估计都是采用两帧图像对齐技术，提出了为多帧运动参数估计方法，即使用多帧子空间约束技术．证明了当摄像机参数不变时，多帧运动参数集合可嵌入一个低维线性子空间上；使用奇异值分解方法来降低线性子空间的秩，用最小二乘技术求解所有帧的运动参数．该方法不需要恢复任何3D信息；由于多帧参数估计法比两帧有更多的约束，因此取得更精确的图像对齐效果．该方法可用小图像进行参数估计．

Multi-Frame Alignment Technology in Rotary Motion of Camera

In this paper,we present a method to extend commonly used two-frame rotary motion estimation techniques to multi-frame estimation by exploiting multi-frame subspace constraints.At first,we show that the image motion from a rotating camera across multiple images is embedded in a lower dimensional linear space if the(camera's) intrinsic parameters keep unchanged;then a SVD technique is used to project columns of the motion matrix into a lower dimensional linear space;and finally,a least squares method is used to estimate the motion parameters.The proposed method needs neither prior scene 3D information,nor(camera's) intrinsic parameters,is shown capable of achieving more accurate alignment results as multiple frames usually have more constraints than only two frames.The method can also be used for the rotary motion estimation in a small image region.