作者: D.R. Iskander , M.J. Collins , M.R. Morelande , M. Zhu
关键词: Wavefront 、 Signal processing 、 Computer vision 、 Eye movement 、 Accommodation 、 Wavefront aberration 、 Human eye 、 Computer science 、 Artificial intelligence
摘要: The optics of the human eye are not static in steady viewing conditions and exhibit microfluctuations. Previous methods used for analyzing dynamic changes eye's include simple Fourier-transform-based methods, which have been studies accommodation response. However, dedicated tools analysis wavefront aberrations reported. We propose a set signal processing tools, combination uncovers aspects dynamics optical were hidden from conventional techniques. methodology includes extraction artifacts potentially significant movements, filtering, optimal parametric modeling, frequency time-frequency representations. exposition techniques their advantages over traditional is illustrated real aberration measurements.