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Steerable filters for early vision, image analysis, and wavelet decomposition

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2 Author(s)
Freeman, W.T. ; MIT, Cambridge, MA, USA ; Adelson, E.H.

An efficient architecture is presented to synthesize filters of arbitrary orientations from linear combinations of basis filters, allowing one to adaptively `steer' a filter to any orientation, and to determine analytically the filter output as a function of orientation. The authors show how to design and steer filters, and present examples of their use in several tasks: the analysis of orientation and phase, angularly adaptive filtering, edge detection, and shape-from-shading. It is also possible to build a self-similar steerable pyramid representation which may be considered to be a steerable wavelet transform. The same concepts can be generalized to the design of 3-D steerable filters, which should be useful in the analysis of image sequences and volumetric data

Published in:

Computer Vision, 1990. Proceedings, Third International Conference on

Date of Conference:

4-7 Dec 1990

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