基于二维灰度图像的规则形体三维重建

对二维灰度图像恢复形体的三维形状问题做了深入研究,提出了一种基于单幅图像,利用几何对称特性进行规则形体重构的方法,即从一幅二维灰度图像中提取规则形体作为研究对象,通过角点检测方法获取其有效特征信息,根据相关特征信息构造对称面或者对称轴,结合形体的几何特性实现规则形体表面的三维重建.实验证明,该方法可以根据形体的二维灰度图像方便有效地重建出其三维形状.

3D Reconstruction of Regular Objects Based on 2D Grey Image

Deep research on 3D reconstruction from the 2D grey image was made and a method was proposed which used the symmetrical characteristics to complete the reconstruction of the regular object based on single image.The method extracted the regular object from the 2D grey image as the research target,adopted corner detection to acquire valid characteristic points and then acquired the plane or axis of symmetry on the basis of the characteristic information,finally combined the geometric properties of the object to realize the 3D reconstruction of object surface.The experiment indicates that the method can conveniently reconstruct the 3D shape of the regular object according to its 2D grey image.