Modelling of Surface Identifying Characteristics Using Fourier Series
Modelling of Surface Identifying Characteristics Using Fourier Series
复制标题
使用傅立叶级数对表面识别特征进行建模
DOI：
10.1115/imece1999-0009
复制
发表时间：
1999
期刊：
影响因子：
--
通讯作者：
W. Harwin
中科院分区：
文献类型：
--
作者：
S. Wall;W. Harwin
纹理和小尺度表面细节被广泛认为在物体的触觉识别中起着重要作用。为了在触觉虚拟环境中模拟真实的纹理，识别一种强大的表面轮廓建模技术变得越来越必要。本文描述了一种利用傅立叶级数谱分析来描述几种特征表面的测量表面轮廓的方法。结果表明，带限傅立叶级数可以用来提供一个现实的近似表面振幅分布。
Texture and small-scale surface details are widely recognised as playing an important role in the haptic identification of objects. In order to simulate realistic textures in haptic virtual environments, it has become increasingly necessary to identify a robust technique for modelling of surface profiles. This paper describes a method whereby Fourier series spectral analysis is employed in order to describe the measured surface profiles of several characteristic surfaces. The results presented suggest that a bandlimited Fourier series can be used to provide a realistic approximation to surface amplitude profiles.
评估缓慢和快速适应传入纤维在粗糙度感知中的相对作用。
影响因子：
2.1
作者：
Johnson,KO;Hsiao,SS
通讯作者：
Hsiao,SS