3D reconstruction for endoscopic environment based on optical tracker

3D reconstruction, an important point in computer vision, has a promising application potential in endoscopic-assisted minimally invasive surgery. In this paper, a 3D reconstruction method based on image sequences is proposed, in which the improved SIFT feature is applied for point extraction and matching, as well as an optical tracker is used to get the orientation of the camera in real time. The proposed approach is evaluated on sequence digital images gotten from an 1394 camera and the experimental results show that the proposed approach is effective.