{"id":"https://openalex.org/W2111924490","doi":"https://doi.org/10.1109/tip.2011.2156800","title":"RASIM: A Novel Rotation and Scale Invariant Matching of Local Image Interest Points","display_name":"RASIM: A Novel Rotation and Scale Invariant Matching of Local Image Interest Points","publication_year":2011,"publication_date":"2011-05-20","ids":{"openalex":"https://openalex.org/W2111924490","doi":"https://doi.org/10.1109/tip.2011.2156800","mag":"2111924490","pmid":"https://pubmed.ncbi.nlm.nih.gov/21606027"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2011.2156800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2011.2156800","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101998063","display_name":"Mahdi Amiri","orcid":"https://orcid.org/0000-0002-8779-9606"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"M. Amiri","raw_affiliation_strings":["Department of Computer Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063512925","display_name":"Hamid R. Rabiee","orcid":"https://orcid.org/0000-0002-9835-4493"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"H. R. Rabiee","raw_affiliation_strings":["AICTC Research Center, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran","Department of Computer Engineering, Sharif University of Technology, Tehran, Iran"],"affiliations":[{"raw_affiliation_string":"AICTC Research Center, Department of Computer Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]},{"raw_affiliation_string":"Department of Computer Engineering, Sharif University of Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101998063"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":1.0302,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.80431439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"20","issue":"12","first_page":"3580","last_page":"3591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.8669559359550476},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6298555135726929},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5386860370635986},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.5318968296051025},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5035585761070251},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4724840521812439},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4484621286392212},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.445291131734848},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.44287344813346863},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.43975722789764404},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4247153401374817},{"id":"https://openalex.org/keywords/point-set-registration","display_name":"Point set registration","score":0.4209756851196289},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.4124809503555298},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.28547412157058716},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.2816762924194336},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.27165210247039795},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2657455503940582},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.15924715995788574}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8669559359550476},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6298555135726929},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5386860370635986},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.5318968296051025},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5035585761070251},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4724840521812439},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4484621286392212},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.445291131734848},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.44287344813346863},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.43975722789764404},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4247153401374817},{"id":"https://openalex.org/C200336642","wikidata":"https://www.wikidata.org/wiki/Q15058706","display_name":"Point set registration","level":3,"score":0.4209756851196289},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.4124809503555298},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.28547412157058716},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2816762924194336},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.27165210247039795},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2657455503940582},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.15924715995788574},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2011.2156800","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2011.2156800","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:21606027","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/21606027","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1533496907","https://openalex.org/W1963623641","https://openalex.org/W1978052431","https://openalex.org/W1980911747","https://openalex.org/W1983605552","https://openalex.org/W2015370045","https://openalex.org/W2042316011","https://openalex.org/W2066657332","https://openalex.org/W2101530800","https://openalex.org/W2106571683","https://openalex.org/W2108070399","https://openalex.org/W2110807182","https://openalex.org/W2112911943","https://openalex.org/W2119605622","https://openalex.org/W2119747362","https://openalex.org/W2120954406","https://openalex.org/W2124386111","https://openalex.org/W2128427846","https://openalex.org/W2139494678","https://openalex.org/W2141494614","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2154406939","https://openalex.org/W2155512642","https://openalex.org/W2158583445","https://openalex.org/W2167501464","https://openalex.org/W2172188317","https://openalex.org/W2539005719","https://openalex.org/W4205398292","https://openalex.org/W4251101141","https://openalex.org/W4298289213","https://openalex.org/W6631946989","https://openalex.org/W6678895800","https://openalex.org/W6681554747"],"related_works":["https://openalex.org/W2354624122","https://openalex.org/W4206457185","https://openalex.org/W2060133567","https://openalex.org/W2791375867","https://openalex.org/W2120321595","https://openalex.org/W2360960220","https://openalex.org/W2374700396","https://openalex.org/W2083801808","https://openalex.org/W2359698967","https://openalex.org/W2367144661"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,58,78,96],"novel":[4],"algorithm":[5,40,152],"for":[6,18,33,66,77],"matching":[7,151],"image":[8,52,162],"interest":[9,12,149],"points.":[10],"Potential":[11],"points":[13],"are":[14,89],"identified":[15],"by":[16,36,103],"searching":[17],"local":[19],"peaks":[20],"in":[21,80,95,153],"Difference-of-Gaussian":[22],"(DoG)":[23],"images.":[24],"We":[25,116],"refine":[26],"and":[27,31,57,84,113],"assign":[28],"rotation,":[29],"scale":[30],"location":[32],"each":[34,55,67],"keypoint":[35,83],"using":[37],"the":[38,70,81,85,92,105,111,119,135,145,154],"SIFT":[39],".":[41],"Pseudo":[42],"log-polar":[43,71],"sampling":[44],"grid":[45],"is":[46,64,101,139,144,157,168],"then":[47],"applied":[48,90],"to":[49,91,118,161,170],"properly":[50],"scaled":[51],"patches":[53],"around":[54],"keypoint,":[56],"weighted":[59],"adaptive":[60,75,112],"lifting":[61],"scheme":[62],"transform":[63,76,88,107],"designed":[65,74],"ring":[68,79,94],"of":[69,110,123,137],"grid.":[72],"The":[73],"reference":[82],"general":[86],"non-adaptive":[87,114],"corresponding":[93,106],"test":[97],"keypoint.":[98],"Similarity":[99],"measure":[100],"calculated":[102],"comparing":[104],"domain":[108],"coefficients":[109],"transforms.":[115],"refer":[117],"proposed":[120],"versatile":[121],"system":[122],"Rotation":[124],"And":[125],"Scale":[126],"Invariant":[127],"Matching":[128],"as":[129],"RASIM.":[130],"Our":[131],"experiments":[132],"show":[133],"that":[134],"accuracy":[136],"RASIM":[138,156],"more":[140,159],"than":[141],"SIFT,":[142],"which":[143],"most":[146],"widely":[147],"used":[148],"point":[150],"literature.":[155],"also":[158],"robust":[160],"deformations":[163],"while":[164],"its":[165],"computation":[166],"time":[167],"comparable":[169],"SIFT.":[171]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}