Study of 3-D profilometry by using wavelet filter

摘要

3-D shape reconstructions by using Fourier transform profilometry via a first-order derivative of Gaussian and Morlet wavelet are experimentally studied. The advantage of using the wavelet filters is that they have the same shape in the spatial and the spectra domains. Experimental results show that Morlet wavelet gives better shape reconstruction, because its transfer function is well localized.