摘要
Background There are many regularly shaped objects in artificial environments.It is difficult to distinguish the poses of these objects when only geometric information is used.With the development of sensor technologies,inclusion of other information can be used to solve this problem.Methods We propose an algorithm to register point clouds by integrating color information.The key idea of the algorithm is to jointly optimize the dense and edge terms.The dense term was built in a manner similar to that of the iterative closest point algorithm.To build the edge term,we extracted the edges of the images obtained by projecting point clouds.The edge term prevents the point clouds from sliding during registration.We used this loosely coupled method to fuse geometric and color information.Results The results of the experiments showed that the edge image approach improves precision,and the algorithm is robust.
