一种基于多特征结合的三维模型检索方法

摘要/Abstract

摘要： 在三维模型检索方法中,针对形状分布特征提取过程中可能存在的复杂局部表面模型中产生采样过程偏移的问题,提出将基于余弦值的模型统计特征作为另一种统计特征,利用相关加权反馈算法确定权值以结合两种几何特征进行三维模型特征表述,最终利用Euclidean距离进行相似性匹配。经实验验证,通过该特征表述来检索三维模型能提升查全率及查准率。

关键词: 加权反馈, 三维模型, 特征匹配, 特征提取, 形状分布

Abstract: In the 3D model retrieval method,the sampling process offset is generated in the model of complex local surface which may exist in the shape distribution feature extraction process.Aiming at this problem,the statistical feature of the model based on cosine value was proposed as another statistical feature,and the correlation weight was used.The feedback algorithm determines the weights to combine the two geometric features to perform the three-dimensional model feature representation,and finally uses the Euclidean distance for similarity matching.It has been verified by experiments that retrieving three-dimensional model by using this feature representation can improve the recall and precision rate.

Key words: Feature extraction, Feature matching, Shape distribution, Three-dimensional model, Weighted feedback

中图分类号:

TP311

李月峰. 一种基于多特征结合的三维模型检索方法[J]. 计算机科学, 2019, 46(6A): 266-269. https://doi.org/

LI Yue-feng. 3D Retrieval Algorithm Based on Multi-feature[J]. Computer Science, 2019, 46(6A): 266-269. https://doi.org/

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