{"id":"https://openalex.org/W2508944521","doi":"https://doi.org/10.1109/tip.2016.2598612","title":"2D Matching Using Repetitive and Salient Features in Architectural Images","display_name":"2D Matching Using Repetitive and Salient Features in Architectural Images","publication_year":2016,"publication_date":"2016-08-08","ids":{"openalex":"https://openalex.org/W2508944521","doi":"https://doi.org/10.1109/tip.2016.2598612","mag":"2508944521"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2016.2598612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2598612","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"],"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/A5056439487","display_name":"Brittany Morago","orcid":"https://orcid.org/0000-0002-2089-6188"},"institutions":[{"id":"https://openalex.org/I153901656","display_name":"University of North Carolina Wilmington","ror":"https://ror.org/02t0qr014","country_code":"US","type":"education","lineage":["https://openalex.org/I153901656"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brittany Morago","raw_affiliation_strings":["University of North Carolina at Wilmington, Wilmington, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina at Wilmington, Wilmington, NC, USA","institution_ids":["https://openalex.org/I153901656"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112945074","display_name":"Giang Bui","orcid":null},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Giang Bui","raw_affiliation_strings":["University of Missouri, Columbia, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101430356","display_name":"Ye Duan","orcid":"https://orcid.org/0000-0002-1166-7703"},"institutions":[{"id":"https://openalex.org/I76835614","display_name":"University of Missouri","ror":"https://ror.org/02ymw8z06","country_code":"US","type":"education","lineage":["https://openalex.org/I76835614"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ye Duan","raw_affiliation_strings":["University of Missouri, Columbia, MO, USA"],"raw_orcid":"https://orcid.org/0000-0002-1166-7703","affiliations":[{"raw_affiliation_string":"University of Missouri, Columbia, MO, USA","institution_ids":["https://openalex.org/I76835614"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6315,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75210397,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"25","issue":"10","first_page":"4888","last_page":"4899"},"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":0.9991000294685364,"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/salient","display_name":"Salient","score":0.7604420781135559},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7339320182800293},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.724631667137146},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.677451491355896},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6680629253387451},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.555491030216217},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5478933453559875},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5349603295326233},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.48773059248924255},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.47691699862480164},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4241913855075836},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14249885082244873}],"concepts":[{"id":"https://openalex.org/C2780719617","wikidata":"https://www.wikidata.org/wiki/Q1030752","display_name":"Salient","level":2,"score":0.7604420781135559},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339320182800293},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.724631667137146},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.677451491355896},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6680629253387451},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.555491030216217},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5478933453559875},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5349603295326233},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.48773059248924255},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.47691699862480164},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4241913855075836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14249885082244873},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tip.2016.2598612","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2016.2598612","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"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306106","display_name":"U.S. Department of Education","ror":"https://ror.org/021adze67"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1500364503","https://openalex.org/W1510689320","https://openalex.org/W1590510366","https://openalex.org/W1763426478","https://openalex.org/W1835235763","https://openalex.org/W1980911747","https://openalex.org/W1984677466","https://openalex.org/W1986525613","https://openalex.org/W1993120651","https://openalex.org/W2033819227","https://openalex.org/W2052094314","https://openalex.org/W2072637632","https://openalex.org/W2083594429","https://openalex.org/W2083624955","https://openalex.org/W2085261163","https://openalex.org/W2090482814","https://openalex.org/W2099363089","https://openalex.org/W2112634643","https://openalex.org/W2122059483","https://openalex.org/W2129201358","https://openalex.org/W2133059825","https://openalex.org/W2144502914","https://openalex.org/W2151103935","https://openalex.org/W2160594803","https://openalex.org/W2165520040","https://openalex.org/W2172188317","https://openalex.org/W4205398292","https://openalex.org/W4256379134","https://openalex.org/W4376522650","https://openalex.org/W6672984895","https://openalex.org/W6680096826","https://openalex.org/W6683295543","https://openalex.org/W6684575702","https://openalex.org/W6803376173"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W2349635380","https://openalex.org/W2329500892","https://openalex.org/W4353089801","https://openalex.org/W2353819554","https://openalex.org/W2359488321","https://openalex.org/W2389866386"],"abstract_inverted_index":{"Matching":[0],"and":[1,29,80,159],"aligning":[2,73],"architectural":[3],"imagery":[4],"is":[5,146],"an":[6,124],"important":[7],"step":[8],"for":[9,38,61,66,106,111],"many":[10,87,150],"applications":[11],"but":[12,102],"can":[13],"be":[14],"a":[15,59,70,78,91,100,112],"difficult":[16],"task":[17],"due":[18],"to":[19,34,49,118,133,148],"repetitive":[20,88],"elements":[21,89],"often":[22],"present":[23,99],"in":[24,123],"buildings.":[25],"Many":[26],"keypoint":[27,136,158],"descriptor":[28],"matching":[30,67,161],"methods":[31],"will":[32],"fail":[33],"produce":[35],"distinctive":[36,135],"descriptors":[37],"each":[39],"region":[40],"of":[41,93,151,167],"man-made":[42],"structures,":[43],"which":[44],"causes":[45],"ambiguity":[46],"when":[47,155],"attempting":[48],"match":[50],"areas":[51,122],"between":[52],"images.":[53],"In":[54],"this":[55,131],"paper,":[56],"we":[57],"outline":[58],"technique":[60],"reducing":[62],"the":[63,108,152],"search":[64],"space":[65],"by":[68,81],"taking":[69],"two-step":[71],"approach,":[72],"pairs":[74],"one":[75],"dimension":[76],"at":[77],"time":[79],"abstracting":[82],"images":[83,166],"that":[84,115,143],"originally":[85],"contain":[86],"into":[90],"set":[92],"distinct,":[94],"representative":[95],"patches.":[96],"We":[97,129,141],"also":[98],"simple,":[101],"very":[103],"effective":[104],"method":[105],"computing":[107],"intra-image":[109],"saliency":[110],"single":[113],"image":[114,125,139],"allows":[116],"us":[117],"directly":[119],"identify":[120],"unique":[121],"without":[126],"machine":[127],"learning.":[128],"use":[130],"information":[132],"find":[134],"matches":[137],"across":[138],"pairs.":[140],"show":[142],"our":[144],"pipeline":[145],"able":[147],"overcome":[149],"pitfalls":[153],"encountered":[154,165],"using":[156],"traditional":[157],"regional":[160],"techniques":[162],"on":[163],"commonly":[164],"urban":[168],"scenes.":[169]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":1}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}
