Reflective texture-less object registration using multiple edge features for augmented reality assembly

Abstract

Virtual assembly technology has developed rapidly in recent years. As one of its key technologies, object registration has been widely studied, whose main task is to register the target object. However, the existing methods cannot effectively register re ective texture-less objects such as metal parts. In this paper, an object registration method based on multiple edge features is proposed, which includes a sparse uniform template sampling method and a multiple edge feature matching method. At the same time, we also used two oil pumps to carry out virtual assembly experiments and verify the accuracy of object registration. The experimental results show that this method can achieve high accuracy which is in line with the requirements of the virtual assembly algorithm in the industry.