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基于统计模型的书法创作模拟
引用本文:董军,徐淼,潘云鹤. 基于统计模型的书法创作模拟[J]. 计算机学报, 2008, 31(7)
作者姓名:董军  徐淼  潘云鹤
作者单位:1. 华东师范大学软件学院,上海,200062
2. 浙江大学人工智能研究所,杭州,310027
基金项目:上海市优秀学科带头人项目 , 上海市重点学科建设项目 , 上海市科委资助项目 , 国家重点基础研究发展计划(973计划)
摘    要:人们对抽象思维与形象思维的认识极不平衡,对形象思维过程的研究尚属阙如.书法创作是典型的形象思维过程.文中给出基于带参数的统计模型(X=M(b))的书法笔划变形方法,通过调节参数可生成新风格的笔划.其过程包括从笔划轮廓获得训练点集、利用广义Procrustes分析法对齐、由主成分分析法得到特征等,并以隶书中典型的"一"划为例,讨论模拟创作结果.要实现人工智能,形象思维的模拟、模式和模型是逐步要考虑的问题.目前的工作只是第一步.

关 键 词:书法创作  形象思维  统计模型  笔划  模拟

Statistic Model-Based Simulation on Calligraphy Creation
DONG Jun,XU Miao,PAN Yun-He. Statistic Model-Based Simulation on Calligraphy Creation[J]. Chinese Journal of Computers, 2008, 31(7)
Authors:DONG Jun  XU Miao  PAN Yun-He
Abstract:Calligraphy is classic course of imagery thinking.The authors manage to create new stroke shape of calligraphy character based on a statistical model with parameter:X=M(b).Where X is target stroke with new styles and parameter b is a vector to adjust the stroke features(e.g.long or short of the stroke).When the parameter is changed with some specific values,new style could be generated.Therefore,some samples are selected in order to form a training set.Each of them is marked with several points,including the points on the contour and the control points which will be used by generating the consecutive contour curve later.After that,the training set is aligned by using Generalized Procrustes Analysis and the primary features of these samples are extracted by Principal Components Analysis.Later on,a few characteristic features in the training set are extracted and represented by the form of several eigenvectors.With the extracted features,new styles of strokes can be generated.Then,stroke one(Horizontals)in "Li" style of Chinese calligraphy is illustrated with simulation results.Simulation of intelligence,patterns of imagery thinking and model of cognition are key issues here.Current work is only the first step.
Keywords:calligraphy creation  imagery thinking  statistics model  stroke  simulation
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