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利用特征向量的三维模型检索 被引量：3

3D Model Retrieval Based on Feature Vector
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摘要 提出一种基于形状特征向量长度与夹角的三维模型检索算法,从规范化处理后的物体形状出发,计算基于模型采样点的特征向量的长度与夹角,通过比较相似特征向量的长度和夹角来度量任意三维模型之间的相似性。实验证明,该算法适用于各种模型格式,对于任何一种变换下的模型都具有良好的检索效果。 A novel 3D model retrieval algorithm based on the lengths of the feature vectors and the angles is proposed. By means of uniform orthogonal sampling, the length and angles of the feature vectors based on sampling points are calculated. By comparing the lengths and angles of similar feature vectors, a faithful similarity measurement is achieved. This method can be applied to any model format and the results are satisfied.
作者 霍星 檀结庆
机构地区 合肥工业大学理学院 合肥工业大学计算机与信息学院
出处 《工程图学学报》 CSCD 北大核心 2009年第3期76-79,共4页 Journal of Engineering Graphics
基金 国家自然科学基金资助项目(60473114) 安徽省自然科学基金资助项目(070416273X) 安徽省教育厅科技创新团队基金资助项目(2005TD03) 合肥工业大学科学研究发展基金资助项目(081002F)
关键词 计算机应用 三维模型检索 特征向量 相似度 computer application 3D model retrieval feature vector similarity
分类号 TP391 [自动化与计算机技术—计算机应用技术]
  • 相关文献

参考文献7

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共引文献101

同被引文献41

  • 1方惠兰,王国瑾.三角网格曲面上离散曲率估算方法的比较与分析[J].计算机辅助设计与图形学学报,2005,17(11):2500-2507. 被引量：40
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引证文献3

二级引证文献13

工程图学学报
2009年 第3期

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