{"_id":"KFSiLWuPQ4SRsMf8g","bibbaseid":"rahtu-heikkil-salo-anewaffineinvariantimagetransformbasedonridgelets-2006","authorIDs":[],"author_short":["Rahtu, E.","Heikkil??, J.","Salo, M."],"bibdata":{"title":"A new affine invariant image transform based on ridgelets","type":"inproceedings","year":"2006","pages":"1039-1048","id":"6bd45eef-d050-3439-bcce-009db9e3e25d","created":"2019-09-15T16:34:27.013Z","file_attached":false,"profile_id":"bddcf02d-403b-3b06-9def-6d15cc293e20","last_modified":"2019-09-26T17:24:07.827Z","read":false,"starred":false,"authored":"true","confirmed":"true","hidden":false,"source_type":"CONF","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, Esa and Heikkil??, Janne and Salo, Mikko","booktitle":"BMVC 2006 - Proceedings of the British Machine Vision Conference 2006","bibtex":"@inproceedings{\n title = {A new affine invariant image transform based on ridgelets},\n type = {inproceedings},\n year = {2006},\n pages = {1039-1048},\n id = {6bd45eef-d050-3439-bcce-009db9e3e25d},\n created = {2019-09-15T16:34:27.013Z},\n file_attached = {false},\n profile_id = {bddcf02d-403b-3b06-9def-6d15cc293e20},\n last_modified = {2019-09-26T17:24:07.827Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n source_type = {CONF},\n private_publication = {false},\n 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.},\n bibtype = {inproceedings},\n author = {Rahtu, Esa and Heikkil??, Janne and Salo, Mikko},\n booktitle = {BMVC 2006 - Proceedings of the British Machine Vision Conference 2006}\n}","author_short":["Rahtu, E.","Heikkil??, J.","Salo, M."],"biburl":"https://bibbase.org/service/mendeley/bddcf02d-403b-3b06-9def-6d15cc293e20","bibbaseid":"rahtu-heikkil-salo-anewaffineinvariantimagetransformbasedonridgelets-2006","role":"author","urls":{},"metadata":{"authorlinks":{}},"downloads":0},"bibtype":"inproceedings","biburl":"https://bibbase.org/service/mendeley/bddcf02d-403b-3b06-9def-6d15cc293e20","creationDate":"2019-09-15T15:10:41.105Z","downloads":0,"keywords":[],"search_terms":["new","affine","invariant","image","transform","based","ridgelets","rahtu","heikkil??","salo"],"title":"A new affine invariant image transform based on ridgelets","year":2006,"dataSources":["rsZGjfhq5jNHuLCRm","ya2CyA73rpZseyrZ8"]}