Mesh Smoothing Xiao-Ming Fu
Mesh Smoothing Xiao-Ming Fu
Denoising Removing the noise (the high frequencies)and keeping the overall shape (the low frequencies) Physical scanning process 。Feature VS Noise
Denoising • Removing the noise (the high frequencies) and keeping the overall shape (the low frequencies) • Physical scanning process • Feature VS Noise
Smoothing From wiki In statistics and image processing,to smooth a data set is to create an approximating function that attempts to capture important patterns in the data,while leaving out noise or other fine-scale structures/rapid phenomena. In smoothing,the data points of a signal are modified so individual points (presumably because of noise)are reduced, and points that are lower than the adjacent points are increased leading to a smoother signal
Smoothing – From wiki • In statistics and image processing, to smooth a data set is to create an approximating function that attempts to capture important patterns in the data, while leaving out noise or other fine-scale structures/rapid phenomena. • In smoothing, the data points of a signal are modified so individual points (presumably because of noise) are reduced, and points that are lower than the adjacent points are increased leading to a smoother signal
Outline Filter-based methods Optimization-based methods 。Data-driven methods
Outline • Filter-based methods • Optimization-based methods • Data-driven methods
Outline Filter-based methods Optimization-based methods 。Data-driven methods
Outline • Filter-based methods • Optimization-based methods • Data-driven methods