摘要
给出了镜面对称物体的水平图像等价于从另外一个位置拍摄图像的完整证明。利用物体中平行结构实现相机标定。在原始图像和水平翻转图像上匹配特征点,通过传统的基于运动的重建技术恢复特征点的位置。把特征点的位置、共面、共线、透视投影等作为约束,通过最小化线性约束下的二次目标函数实现曲面重建。最后采用基于重心坐标的加权纹理提取方法提取纹理图像。利用真实的图像验证了该方法的可行性。
An entire demonstration on that the horizontally flipped image of a reflective symmetric object was equivalent to an image photographed from another position was given.The parallel structure was used on calibrating the camera first.Then the feature points were matched between the original image and the horizontally flipped image.Traditional structure from motion techniques can be used on recovering these points.With the constraints of these feature points,perspective projection,coplanarity and colinearity,t...
出处
《计算机应用》
CSCD
北大核心
2009年第2期429-432,共4页
journal of Computer Applications
关键词
单视图建模
对称曲面
纹理提取
single view modeling
symmetric curved surfaces
texture extraction