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线结构光三维视觉曲面测量的自适应采样与建模方法 被引量:6

Adaptive Sampling and Modeling Method for Free Form Surface Measurement with Structured Light Vision Sensor
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摘要 研究了线结构光视觉传感器曲面测量数据在商用IDEAS中的建模问题,提出了一种基于曲率特征的自适应采样方法和采样精度评价指标.对扫描曲线进行采样,并经过对曲线间采样点的匹配、细分生成矩型网格数据,送入IDEAS系统,建立曲面的CAD 模型.最后给出了曲面建模实例,结果表明该方法使采样点能有效地反映扫描截面曲线的曲率特征。 A free form surface model from scan data is presented using structured light vision sensor. Use is made of the curvature based adaptive sampling approach and an evaluation index for sampling precision where each scan curve is sampled. The matrix type mesh data are then generated from sample points by matching and subdividing algorithm. The I?DEAS software is applied for modeling. The results from an experiment show that sample points can reflect curvature characteristics of section curve. Transformation of data formation for free form surface modeling is implemented by application of I?DEAS.
机构地区 西安交通大学
出处 《西安交通大学学报》 EI CAS CSCD 北大核心 1999年第10期48-51,共4页 Journal of Xi'an Jiaotong University
基金 国家自然科学基金 国家教育部博士点基金
关键词 自适应采样 建模 视觉传感器 曲面测量 线结构光 scan data adaptive sampling matrix type mesh data
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参考文献1

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