A Method for Recognition of Work-Pieces Based on Improved SIFT Characteristics Matching

Abstract

To solve the problem of work piece image matching under the complex circumstance of translation, rotation, scale and part of occlusion, an algorithm of work piece recognition based on improved SIFT is given. The algorithm uses SIFT (Scale Invariant Feature Transform) characteristics as matching features, then introduces the incline distance as the similarity metrics of image matching, and uses a method of setting a threshold value to delete the false matching points, which improves the matching speed greatly. The experimental results proved that the algorithm can effectively solve stereo matching problems of work piece images including translation, rotation, scale and part of occlusion.