A resample strategy and artificial bee colony optimization-based 3d range imaging registration

摘要

For two point clouds with low overlapping rate, the registration process is more difficult and the registration speed is slow. In this paper, we reduce the number of sampling points to simplify the calculation, and then propose a new idea based on equal interval method called resample strategy, it can effectively avoid ambiguity during the registration process by improving the ergodicity and utilization of the sampling point set. In addition, we also introduce a new solution search equation that has more exploitation performance to alternatively search with an enhanced artificial bee colony algorithm. The computation time has been effectively reduced by using these two proposed strategies. The registration experimental results aiming to a variety of point cloud models show that our 3d image registration algorithm is better than many other algorithms based on classical or improved bionic intelligence optimization methods.