Steerable filters have been used to analyze local orientation patterns in imagery. Such filters are typically based on directional derivatives, whose symmetry produces orientation responses that are periodic with period ß, independent of image structure. We present a more general set of steerable filters that alleviate this problem. 1 Introduction Oriented linear filters are used in many vision and image processing tasks, such as edge detection, segmentation, texture analysis, and motion analysis. Their basic behavior with regard to representation of orientation may be examined by computing an "orientation map": the squared filter response as a function of filter orientation (e.g., [4, 3, 8, 2]). Such filters are almost always eit...
[[abstract]]Scene motion is characterized by the orientation of its spectrum in the frequency domain...
Abstract. A unitary approach for locally apertured orientation analysis of 2D and 3D scalar images i...
Edge orientations play an important role in recognition due to their function as a primitive visual ...
Steerable filters have been used to analyze local orientation patterns in imagery. Such filters are ...
Steerable lters, as developed byFreeman and Adelson, are a class of rotation-invariant linear operat...
Oriented filters are useful in many early vision and image processing tasks. One often needs to appl...
The theory of steerable filters (introduced by Freeman and Adelson in 1991) offers a convenient and ...
In this contribution we investigate the performance of steerable functions to characterize keypoints...
Junctions are significant features in images with intensity variation that exhibits multiple orienta...
Filtering of an image with rotated versions of an orientation selective filter yields a set of image...
This letter proposes a new approach for feature, extraction using steerable filters. This approach i...
Abstract- In this study, we suggest a new approach to the detection of edge orientation in order to ...
Using the concept of steerable filters, it is possible to repre-sent the rotation of a known templat...
Steerable filters are concluded to be useful in order to determine the orientation of fibres capture...
The detection of landmarks or patterns is of interest for extracting features in biological images. ...
[[abstract]]Scene motion is characterized by the orientation of its spectrum in the frequency domain...
Abstract. A unitary approach for locally apertured orientation analysis of 2D and 3D scalar images i...
Edge orientations play an important role in recognition due to their function as a primitive visual ...
Steerable filters have been used to analyze local orientation patterns in imagery. Such filters are ...
Steerable lters, as developed byFreeman and Adelson, are a class of rotation-invariant linear operat...
Oriented filters are useful in many early vision and image processing tasks. One often needs to appl...
The theory of steerable filters (introduced by Freeman and Adelson in 1991) offers a convenient and ...
In this contribution we investigate the performance of steerable functions to characterize keypoints...
Junctions are significant features in images with intensity variation that exhibits multiple orienta...
Filtering of an image with rotated versions of an orientation selective filter yields a set of image...
This letter proposes a new approach for feature, extraction using steerable filters. This approach i...
Abstract- In this study, we suggest a new approach to the detection of edge orientation in order to ...
Using the concept of steerable filters, it is possible to repre-sent the rotation of a known templat...
Steerable filters are concluded to be useful in order to determine the orientation of fibres capture...
The detection of landmarks or patterns is of interest for extracting features in biological images. ...
[[abstract]]Scene motion is characterized by the orientation of its spectrum in the frequency domain...
Abstract. A unitary approach for locally apertured orientation analysis of 2D and 3D scalar images i...
Edge orientations play an important role in recognition due to their function as a primitive visual ...