Linear Feature Matching Method Based on Local Affine Invariant andEpipolar Constraint for Close-range Images

Objective To solve the line matching problem caused by obstruction and extraction algorithm for close-range images,a novel algorithm of matching straight line based on local affine invariant and epipolarconstraint is presented in this paper.On the basis of straight line extraction and corresponding pointmatching on close-range image pairs,the linear feature’s candidate corresponding lines are firstlysearched based on the intersection affine invariant character of the lines including the extracted andvirtual straight ones,while endpoints of the virtual are corresponding points near the extracted lines.Then,the overlapping parts of the target lines and the matching candidates are calculated based onepipolar constraint.The right corresponding lines are finally acquired with the help of the comprehen-sive similarity measure derived from angle and neighborhood grey level of the straight line.Using theapproach proposed in this paper,experiments were carried out for the close-range images under differ-ent geometric transformation.The results show that this method has a good reliability and accuracy.