关键词: 图像特征, 特征匹配, 几何约束, 投票, 自适应阈值

Abstract: In order to improve the performance of the image features correspondence that solely depends on similarity, a correspondence algorithm is proposed, which used the geometric constraint efficiently by the voting method. First of all, a fast coarse matching by the descriptor of the features was performed to get the candidate correspondence, then a robust geometric constraint was used to compute a new similarity of the candidate correspondence by the voting method. Finally, a self-adaptive method for distinguishing the belief of the candidate correspondence was proposed to get the correspondence of image features. Comprehensive experiments demonstrate that our method is effective and robust for a variety of image transforms. Better result can be got by the correspondence algorithm based on voting of geometric constraint than that based on similarity simply.

Key words: image feature, features correspondence, geometric constraint, voting, adaptive threshold