{"version":1,"kind":"Article","sha256":"","slug":"207","location":"","dependencies":[],"doi":"10.54294/tiqso5","frontmatter":{"title":"Scale Invariant Feature Transform for n-Dimensional Images (n-SIFT)","abstract":"This document describes the implementation of several features previously developed[2], extending the\r\n2D scale invariant feature transform (SIFT)[4, 5] for images of arbitrary dimensionality, such as 3D\r\nmedical image volumes and time series, using ITK1. Specifically, we provide a scale invariant implementation\r\nof a weighted histogram of gradient feature, a rotationally invariant version of the histogram\r\nfeature, and a SIFT-like feature, adapted to handle images of arbitrary dimensionality. This paper is accompanied\r\nwith the source code, example input data, parameters and output data, allowing reproduction\r\nof the example results in this paper and the results previously reported[2]. Note that usage of SIFT in the\r\nUnited States is governed by US Patent 6,711,293.","license":"You are licensing your work to Kitware Inc. under the\nCreative Commons Attribution License Version 3.0.\n\nKitware Inc. agrees to the following:\n\nKitware is free\n * to copy, distribute, display, and perform the work\n * to make derivative works\n * to make commercial use of the work\n\nUnder the following conditions:\n\\\"by Attribution\\\" - Kitware must attribute the work in the manner specified by the author or licensor.\n\n * For any reuse or distribution, they must make clear to others the license terms of this work.\n * Any of these conditions can be waived if they get permission from the copyright holder.\n\nYour fair use and other rights are in no way affected by the above.\n\nThis is a human-readable summary of the Legal Code (the full license) available at\nhttp://creativecommons.org/licenses/by/3.0/legalcode","keywords":["ITK","4D","3D","image matching","scale-invariant","SIFT"],"authors":[{"name":"Cheung, Warren","email":"wac@dnahelix.org","affiliations":["University of British Columbia"],"corresponding":true},{"name":"Hamarneh, Ghassan","email":"hamarneh@cs.sfu.ca","affiliations":[]}],"date_submitted":"2007-12-01T00:00:00Z","external_publication_id":207,"revision_cids":["bafkreiawayyjl2jythnoomqxcgvsxcjhxa6tx6f6aktrthjchkmbghshy4"]},"mdast":{"type":"root"},"downloads":[{"url":"https://pub.desci.com/ipfs/bafkreihpedvwrlfw5wcsw7acufncmwqzthwe3qmh4ozfhsafie734up6wy","title":"root/code/CMakeLists.txt","filename":"CMakeLists.txt","extra":{"size_bytes":2605,"type":"file"}},{"url":"https://pub.desci.com/ipfs/bafkreigi7yaxzxym5hdiptzp2xhxbjrfeoh5cmirtid7cike6hiycd22qy","title":"root/code/IJMacros.txt","filename":"IJMacros.txt","extra":{"size_bytes":3205,"type":"file"}},{"url":"https://pub.desci.com/ipfs/bafkreibkmvwafbdnl5eu3wo3mbsngdakpjngxd44bxtbpeovnvaktafvcu","title":"root/code/ImageCompare.cxx","filename":"ImageCompare.cxx","extra":{"size_bytes":8164,"type":"file"}},{"url":"https://pub.desci.com/ipfs/bafkreigcxdsqd7z73ttyrqqayfhmwgkl2nxd44ddqloqqx22xydy3iknr4","title":"root/code/itkScaleInvariantFeatureImageFilter.h","filename":"itkScaleInvariantFeatureImageFilter.h","extra":{"size_bytes":12208,"type":"file"}},{"url":"https://pub.desci.com/ipfs/bafkreibbpnqrcjtkhdzaohyny3cxg3xunno6diomfjsnfw2nesbuopbdwq","title":"root/code/itkScaleInvariantFeatureImageFilter.txx","filename":"itkScaleInvariantFeatureImageFilter.txx","extra":{"size_bytes":41123,"type":"file"}},{"url":"https://pub.desci.com/ipfs/bafkreihomoguee3xt6eubkqklweevalwo3o2tlk3oejmeq3ycexkdot36u","title":"root/code/testnD.cxx","filename":"testnD.cxx","extra":{"size_bytes":14398,"type":"file"}},{"url":"https://ipfs.desci.com/ipfs/bafkreid6e3dkdoh6bfd7mrnuczvn6anfs5smluqeol4uwqg6dkszwpw6ca","title":"root/insight-journal-metadata.json","filename":"insight-journal-metadata.json","extra":{"size_bytes":5302,"type":"file"}},{"url":"https://dweb.link/ipfs/bafkreihoz64cz3rz732mtu2a77sn55uuwpfzztb7ablbcsdbpozehnyfqy","title":"root/article.pdf","filename":"article.pdf","extra":{"size_bytes":52141,"type":"file"}}],"references":{"cite":{"order":["ref1","ref2","ref3","ref4","ref5","ref6"]},"data":{"ref1":{"label":"ref1","enumerator":"1","url":"https://doi.org/10.1109/iembs.2006.260599","html":"Rapid multi-modality preregistration based on SIFT descriptor+In Proceedings of the 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society+2006+1437+1440+Jian Chen+Jie Tian"},"ref2":{"label":"ref2","enumerator":"2","url":"https://doi.org/10.1109/isbi.2007.356953","html":"Ghassan Hamarneh. n-SIFT: n-dimensional scale invariant feature transform for matching medical images+In Proceedings of the Fourth IEEE International Symposium on Biomedical Imaging: From Nano to Macro+2007+5+723+1+Warren Cheung"},"ref3":{"label":"ref3","enumerator":"3","html":"Brainweb: Online interface to a 3d MRI simulated brain database+In Proceedings of the 3rd International Conference on Functional Mapping of the Human Brain, NeuroImage+3+1997+1+Chris Cocosco+Alan Remi K.-S. Kwan+Evans+S425 page"},"ref4":{"label":"ref4","enumerator":"4","url":"https://doi.org/10.1109/iccv.1999.790410","html":"Object recognition from local scale-invariant features+In Proceedings of the Seventh IEEE International Conference on Computer Vision+1999+2+David Lowe"},"ref5":{"label":"ref5","enumerator":"5","url":"https://doi.org/10.1023/b:visi.0000029664.99615.94","html":"Distinctive image features from scale-invariant keypoints+International Journal of Computer Vision+60+91+110+2004+David Lowe"},"ref6":{"label":"ref6","enumerator":"6","url":"https://doi.org/10.1016/j.ics.2005.03.042","html":"Medical image registration based on distinctive image features from scale-invariant (SIFT) keypoints+In Proceedings of 19th Computer-Assisted Radiology and Surgery Conference (CARS+2005+Mehdi Moradi+Purang Abolmaesumi"}}}}