A 3D isotropic quadrature filter for motion estimation problems

Martin Krause; Gerald Sommer

doi:10.1117/12.632667

24 June 2005 A 3D isotropic quadrature filter for motion estimation problems

Martin Krause, Gerald Sommer

Proceedings Volume 5960, Visual Communications and Image Processing 2005; 59603T (2005) https://doi.org/10.1117/12.632667
Event: Visual Communications and Image Processing 2005, 2005, Beijing, China

Abstract

Quadrature filters are a well known means for local spectral analysis of images and to extract relevant structure. Recently, there has been the discovering of an isotropic quadrature filter for images that does not need steering with respect to orientation and provides the user with geometric (local orientation) and structural (local phase) information. Here, we present a further extension of this, an isotropic quadrature filter for 3D data. With only four convolutions we can calculate the local orientation, energy and the phase of locally intrinsically 1D structuresy in 3D image data. There is a wide variety of useful applications for a filter of this kind. In this paper, we will restrict ourselves to the application of phase-based motion or flow field estimation.

Citation Download Citation

Martin Krause and Gerald Sommer "A 3D isotropic quadrature filter for motion estimation problems", Proc. SPIE 5960, Visual Communications and Image Processing 2005, 59603T (24 June 2005); https://doi.org/10.1117/12.632667

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