Title :
Filtering requirements for gradient-based optical flow measurement
Author_Institution :
Centre for Vision, Speech, & Signal Process., Surrey Univ., Guildford, UK
fDate :
10/1/2000 12:00:00 AM
Abstract :
The accuracy of gradient-based optical flow algorithms depends on the ability to measure intensity gradients accurately. We show how the temporal gradient can be compromised by temporal aliasing arising from motion and how appropriate post-sampling spatial filtering improves the situation. We also demonstrate a benefit of using higher-order gradient estimators
Keywords :
antialiasing; gradient methods; image sampling; image sequences; motion estimation; spatial filters; filtering requirements; gradient-based optical flow measurement; higher-order gradient estimators; intensity gradients; post-sampling spatial filtering; temporal aliasing; temporal gradient; Filtering; Fluid flow measurement; Fourier transforms; Frequency estimation; Gradient methods; Image motion analysis; Image sampling; Motion measurement; Optical filters; Spatial filters;
Journal_Title :
Image Processing, IEEE Transactions on
