【摘要】 针对笔式三维建模技术中手势交互的特点,提出了一种二维草图的增量识别方法从原始笔划的在线识别与线元转换,到约束关系的自动捕捉与施加,到二维组合图元的识别与规整,到特征手势的识别,到最后的三维特征建模.整个识别过程依据了三维特征建模思想和基于上下文感知的智能推理技术,通过分层识别的方法从紊乱、非精确的二维草图中有效提取三维建模的特征信息,有效降低了草图识别过程的复杂度和积累误差.将特征手势遵循隐式映射机制映射到三维空间后,实时完成三维建模,实现了二维手绘草图与三维精确建模的有效集成.该方法已经在自主开发的原型系统PenSketch3D中得以验证,并取得良好效果.更多还原

【Abstract】 A method of two-dimensional sketch recognition based on incremental mode was proposed according to the characteristics of gesture interaction in pen-based three-dimensional modeling technology. The sketch recognition includes: on-line stroke recognition and conversion, automatic constraint catching and appending, two-dimensional combined entity recognition and rectification, feature gesture recognition and three-dimensional feature modeling. Three-dimensional feature modeling thinking and intelligent reasoning technology based on context-aware were used to the recognition. Feature information for three-dimensional modeling was distilled step-by-step from disorganized and inaccurate two-dimensional sketch. The complexity and accumulative uncertainty are reduced effectively by the method. Feature gesture was mapped into three-dimensional space according to implicit mapping mechanism to finish three-dimensional modeling in real time. As a result, two-dimensional freehand sketch and three-dimensional accurate modeling are integrated effectively. It has been validated in a prototype system, PenSketch3D, with promising effect.更多还原