%0 Journal Article %A DU Xiaohui %T Memoryless iterative point cloud simplification algorithm %D 2012 %R %J Computer Engineering and Applications %P 182-184 %V 48 %N 3 %X The existing algorithms of iterative point cloud simplification often maintain the original model’s information and occupy large memory during the process of iterative simplification. This paper presents a memoryless iterative algorithm which need not record geometric information of the original point cloud model. This algorithm uses the volume and distance optimizations to calculate the new point and sort order of the point-pair contractions. The experimental results show that the novel algorithm can be smaller in average errors while occupying lower memory. %U http://cea.ceaj.org/EN/abstract/article_27940.shtml