基于射影不变量的三维重构

文中提出了利用射影不变量来求解基于图像对三维深度恢复问题。方法的基本思想是对于立体图像,利用密度段元素,引入了两个射影不变量来恢复密度段的深度信息。从这两个不变量,能推导立体图像中匹配的密度段对所满足的关系。利用这个关系,实现了密度段之间的匹配运算。这个方法能直接地从输入图像中得到密集和准确的深度,对变形的图像具有鲁棒性。

3D Reconstruction Based on Projective Invariants

A new projective invariant-based technique for recovering depth information from stereo images is presented.The basic idea of the method is to see intensity segments as primitives for stereo matching.To recover the depth information of intensity segments,two projective invariants are not reduced.From the two invariants,can derive a relation that should be satisfied among the matching pairs of intensity segments on the stereo images.By using the relation,the matching computation of the intensity segments can be performed easily.The proposed method can obtain a dense and accurate depth map directly from the input images.It is robust to both image distortions and occlusions.