The Journal of the Society for Art and Science
Cover sheet for paper submissions

�¡ Paper Types (choose one)
  �EOriginal Full Paper 

�¡ Paper Field�ichoose one�j
  2) Science/Technology

�¡ Categories�ichoose one or more�j
  a-1) Computer Graphics (Modeling)
  b-4) Computer Graphics Systems

�¡ Special Issue Correspondence (choose one�j
  �ESubmission for a Special Issue (Name: NICOGRAPH 2014)

�¡ Title
    Feature-Preserving Simplification of Point Cloud by Using Clustering Approach Based on Mean Curvature

�¡ Author(s)
    Xi Yang (Non-Member)
    Katsutsugu Matsuyama (Regular Member)
    Kouichi Konno (Regular Member)
    Yoshimasa Tokuyama (Regular Member)

�¡ Author Affiliation(s)
    Graduate School of Engineering, Iwate University
    Faculty of Engineering, Tokyo Polytechnic University

�¡ Author E-mail Address(es)
    yangxi�—lk.cis.iwate-u.ac.jp

�¡ Name, Address, Affiliation, Telephone number, Fax number, and E-mail Address of the Contact Person
    Xi Yang, Iwate University, 090-1370-1203, , yangxi�—lk.cis.iwate-u.ac.jp

�¡ Abstract (approx. 100 words)
    For point cloud data obtained from 3D scanning devices, excessively large storage and long post-processing time are required. Therefore, it is very important to simplify the point cloud to reduce calculation cost. In this paper, we propose a new point cloud simplication method that can maintain the characteristics of surface shape for unstructured point clouds. In our method, a segmentation range based on mean curvature of a point can be controlled. Simplication process is completed by both keeping the representative point and removing the represented points within the range. Our method can simplify an object highly simplied rate with preserving the form feature. Applying the proposed method to 3D stone tool models, the method is evaluated precisely and effectively.

�¡ Keywords (around five)
    Point Cloud, Clustring, Mean Curvature, Simplification