计算机科学 ›› 2016, Vol. 43 ›› Issue (7): 303-309.doi: 10.11896/j.issn.1002-137X.2016.07.056
周燕,曾凡智,杨跃武
ZHOU Yan, ZENG Fan-zhi and YANG Yue-wu
摘要： 针对三维模型检索中单一特征检索效果差的难题,首先提出了三维模型的3类特征向量提取算法,即刻画模型表面特性的扩展高斯球面特征向量、反映模型内部结构的Radon变换球面分布特征向量、代表模型投影层次的视图分层压缩感知特征向量。其次,以样本模型的查询结果分类信息熵作为指标并结合监督学习过程,给出了一种多特征融合的加权系数估算方法。最后,设计了融合多特征的模型间相似度度量,完成基于查询示例的模型检索过程。仿真实验表明,提出的3类特征向量具有较好的可区分性,多特征融合检索算法的查全率与查准率有明显提升。
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