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X-Y separable pyramid steerable scalable kernels (1994)
| Content Provider | CiteSeerX |
|---|---|
| Author | Shy, Douglas Perona, Pietro |
| Description | A new method for generating x-y separable steerable scalable approximations offilter kemels is proposed which is based on a generalization of the Singular Value De-composition (SVD) to 3 dimensions. This “pseudo-SVD” impmves upon apwwus scheme due to Pemna in that it reduces convolution time and storage requirements. An adaptation of the pseudo-SVD is proposed to generate steerable and scalable kemels which an? suitable for use with a Laplacian pyramid. The properties of this method are illustrated experimentally in generating steerable and scalable approximations to an early vision edge-detection kernel. In Proc. IEEE Comput. Soc. Conf. Comput. Vision and Pattern Recogn |
| File Format | |
| Language | English |
| Publisher Date | 1994-01-01 |
| Access Restriction | Open |
| Subject Keyword | Early Vision Edge-detection Bmel Scalable Approximation Convolution Time Singular Value De-composition Storage Requirement Apwwus Scheme Pseudo-svd Impmves Laplacian Pyramid Scalable Kemels New Method |
| Content Type | Text |
| Resource Type | Article |
