Novel registration algorithm for 3-D images captured from multiple views of object surface

摘要

A novel algorithm of 3-D surface image registration is proposed.It makes use of the array information of 3-D points and takes vector/vertex-like features as the basis of the matching.That array information of 3-D points can be easily obtained when capturing original 3-D images.The iterative least-mean-squared (LMS) algorithm is applied to optimizing adaptively the transformation matrix parameters.These can effectively improve the registration performance and hurry up the matching process.Experimental results show that it can reach a good subjective impression on aligned 3-D images.Although the algorithm focuses primarily on the human head model,it can also be used for other objects with small modifications.