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作 者:孙正兴[1,2] 徐晓刚[1,2] 孙建勇[1,2] 金翔宇
机构地区:[1]南京大学计算机软件新技术国家重点实验室,南京210093 [2]南京大学计算机科学与技术系,南京210093
出 处:《计算机辅助设计与图形学学报》2003年第9期1145-1152,1159,共9页Journal of Computer-Aided Design & Computer Graphics
基 金:国家自然科学基金 ( 6990 3 0 0 6)资助
摘 要:手绘图形输入是表达设计意图 ,实现抽象概念与具体图形间相互转换的自然而有效手段之一 提出并初步实现了一个面向方案设计、采用在线图形识别方法和相似性相关反馈技术的手绘图形输入工具 在线图形识别方法将用户输入的笔画经过图形预处理、特征识别、图形拟合和规整等过程 ,即时地识别和预测用户的基本图形构造意图 ;相似性相关反馈技术则在基本图形按其空间和时间关系组合后 ,利用图形构成及其空间关系与图形模板的相似性计算 ,及时地捕捉和反馈用户输入图形的组成意图 实验表明 :该工具具有很好的基本图形识别效果和良好的用户交互特性 。Sketch-based graphics input is a natural and effective way to present designer's intention and transfer conceptual idea into ideographic representation. A prototype of sketch-based graphics input tool is realized for scheme design, which is based upon on-line graphic recognition and similarity-based relevance feedback. Online graphic recognition can reveal latent primitive shapes from user-drawn strokes and show the regularized shape on screen immediately through geometric preprocessing, feature recognition, shape fitting and regularization. After the primitive shapes are grouped according to the spatial and temporal relationships, similarity-based relevance feedback are introduced to catch and suggest the user intention through computing their similarity with the predefined template both in partial structures as well as in overall configuration. Experimental results show that this tool can yield good results of precise recognition and fine response to user interaction. The proposed idea presents a novel way for computer supported schematic design.
关 键 词:CAD 概念设计 手绘图形输入工具 方案设计 图形识别
分 类 号:TP391.72[自动化与计算机技术—计算机应用技术]
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