Abstract: To adjust the size of existing three-dimensional model adaptively for meeting the requirements of various applications, this paper presents a salient features preserved resizing technique for point cloud model by deleting or copying the energy curves.Firstly, we specify the upper and lower boundary points on the point set surface, and construct the distance field for the model based on distance evolution.Then with the local salient features of surface, we evaluate the energy field for the underlying model using dynamic programming technique, and compute the minimum energy curve from upper boundary to lower boundary according to the energy field.Finally, we remove the points which lie on the minimum energy curve, and splice both sides of the curve to finish once model resizing operation.Repeat the above steps until the size of the resulted model meets our requirements.Experimental results show that the proposed algorithm can produce appealing resized results, and it can both protect the significant regions and avoid the problems of existing methods, for example, the resolution becomes too high in some resized parts so that the model looks unnatural and even distorted.