CAE-ELM:卷积自动编码器极限学习机-源码

上传者: 42118770 | 上传时间: 2021-09-10 19:35:24 | 文件大小: 53KB | 文件类型: ZIP
CAE-ELM 介绍 3D形状特征在图形应用程序中起着至关重要的作用,例如3D形状匹配,识别和检索。 在过去的二十年中,已经开发出了各种3D形状描述符。 但是,现有的描述符是手工设计的功能,需要大量劳动来设计,并且无法为大量数据提取判别信息。 我们提出了一种快速的3D特征学习方法,即卷积自动编码器极限学习机(CAE-ELM),该方法结合了卷积神经元网络,自动编码器和极限学习机(ELM)的优势。 此方法比其他方法执行得更好,更快。 另外,我们定义了一种基于CAE-ELM的新颖架构。 该体系结构接受两种类型的3D形状表示,即体素数据和有符号距离场数据(SDF),作为提取3D形状的全局和局部特征的输入。 体素数据描述结构信息,而SDF数据包含3D形状的详细信息。 此外,提出的CAE-ELM可以用于实际的图形应用程序,例如3D形状完成。 实验表明,CAE-ELM提取的特征优于现有的手工特征以

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