A new affine invariant image transform based on ridgelets. Rahtu E, S., M., &., H., J. In 2006.
abstract   bibtex   
In this paper we present a new affine invariant image transform, based on ridgelets. The proposed transform is directly applicable to segmented image patches. The new method has some similarities with the previously proposed Multiscale Autoconvolution, but it will offer a more general framework and possibilities for variations. The obtained transform coefficients can be used in affine invariant pattern classification, and as shown in the experiments, already a small subset of them is enough for reliable recognition of complex patterns. The new method is assessed in several experiments and it is observed to perform well under many nonaffine distortions.
@inProceedings{
 title = {A new affine invariant image transform based on ridgelets},
 type = {inProceedings},
 year = {2006},
 id = {1ed1ad7c-6ab5-302c-b85a-13879497035e},
 created = {2019-11-19T13:01:18.406Z},
 file_attached = {false},
 profile_id = {bddcf02d-403b-3b06-9def-6d15cc293e20},
 group_id = {17585b85-df99-3a34-98c2-c73e593397d7},
 last_modified = {2019-11-19T13:46:35.658Z},
 read = {false},
 starred = {false},
 authored = {false},
 confirmed = {true},
 hidden = {false},
 citation_key = {mvg:739},
 source_type = {inproceedings},
 notes = {Proc. the 16th British Machine Vision Conference (BMVC 2006), Edinburgh, UK, 3:1039-1048.},
 private_publication = {false},
 abstract = {In this paper we present a new affine invariant image transform, based on
ridgelets. The proposed transform is directly applicable to segmented image
patches. The new method has some similarities with the previously proposed
Multiscale Autoconvolution, but it will offer a more general framework and
possibilities for variations. The obtained transform coefficients can be used
in affine invariant pattern classification, and as shown in the experiments, already
a small subset of them is enough for reliable recognition of complex
patterns. The new method is assessed in several experiments and it is observed
to perform well under many nonaffine distortions.},
 bibtype = {inProceedings},
 author = {Rahtu E, Salo M & Heikkilä J}
}
Downloads: 0