Abstract:

To overcome the projection transmutation and achieve the robust scene matching during electrooptical imaging guidance, a new approach based on speeded up robust features (SURF) is proposed. SURF features are invariant to image scale and rotation, robust to illumination change and rapid to be extracted. First, different oblique views of reference images are generated by the affine transform to get 3D viewpoint angle compensation, then the SURF features of the reference image and the realtime image are extracted respectively. The matching feature points are extracted based on a least Euclidean distance criterion, these points are used to estimate the fundamental matrix, which represents the correspondence between the reference image and the realtime image. Experimental results show that the proposed method is robust to the severe projection transmutation. The proposed method provides robust scene matching during electrooptical imaging guidance.