{"id":"https://openalex.org/W2803083418","doi":"https://doi.org/10.3390/rs10050747","title":"A Descriptor-less Well-Distributed Feature Matching Method Using Geometrical Constraints and Template Matching","display_name":"A Descriptor-less Well-Distributed Feature Matching Method Using Geometrical Constraints and Template Matching","publication_year":2018,"publication_date":"2018-05-11","ids":{"openalex":"https://openalex.org/W2803083418","doi":"https://doi.org/10.3390/rs10050747","mag":"2803083418"},"language":"en","primary_location":{"id":"doi:10.3390/rs10050747","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10050747","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/rs10050747","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055390107","display_name":"Hani Mahmoud Mohammed","orcid":"https://orcid.org/0000-0001-9928-4581"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Hani Mahmoud Mohammed","raw_affiliation_strings":["Department of Geomatics Engineering, University of Calgary, 2500 University Dr. N.W. Calgary, AB T2N 1N4, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Geomatics Engineering, University of Calgary, 2500 University Dr. N.W. Calgary, AB T2N 1N4, Canada","institution_ids":["https://openalex.org/I168635309"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042454030","display_name":"Naser El\u2010Sheimy","orcid":"https://orcid.org/0000-0001-6505-0832"},"institutions":[{"id":"https://openalex.org/I168635309","display_name":"University of Calgary","ror":"https://ror.org/03yjb2x39","country_code":"CA","type":"education","lineage":["https://openalex.org/I168635309"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Naser El-Sheimy","raw_affiliation_strings":["Department of Geomatics Engineering, University of Calgary, 2500 University Dr. N.W. Calgary, AB T2N 1N4, Canada"],"affiliations":[{"raw_affiliation_string":"Department of Geomatics Engineering, University of Calgary, 2500 University Dr. N.W. Calgary, AB T2N 1N4, Canada","institution_ids":["https://openalex.org/I168635309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5055390107"],"corresponding_institution_ids":["https://openalex.org/I168635309"],"apc_list":{"value":2500,"currency":"CHF","value_usd":2707},"apc_paid":{"value":2500,"currency":"CHF","value_usd":2707},"fwci":2.218,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.88384409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"10","issue":"5","first_page":"747","last_page":"747"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10191","display_name":"Robotics and Sensor-Based Localization","score":0.9998999834060669,"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/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/T10531","display_name":"Advanced Vision and Imaging","score":0.9977999925613403,"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/ransac","display_name":"RANSAC","score":0.973289966583252},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6779749393463135},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.668989896774292},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5773105621337891},{"id":"https://openalex.org/keywords/fundamental-matrix","display_name":"Fundamental matrix (linear differential equation)","score":0.5637112855911255},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5550650358200073},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5263843536376953},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5224096775054932},{"id":"https://openalex.org/keywords/degeneracy","display_name":"Degeneracy (biology)","score":0.49411919713020325},{"id":"https://openalex.org/keywords/feature-matching","display_name":"Feature matching","score":0.47238993644714355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45391255617141724},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.4479290843009949},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35404694080352783},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3504828214645386},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3346255421638489},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.09828746318817139}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.973289966583252},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6779749393463135},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.668989896774292},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5773105621337891},{"id":"https://openalex.org/C2780427248","wikidata":"https://www.wikidata.org/wiki/Q17014996","display_name":"Fundamental matrix (linear differential equation)","level":2,"score":0.5637112855911255},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5550650358200073},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5263843536376953},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5224096775054932},{"id":"https://openalex.org/C2777727622","wikidata":"https://www.wikidata.org/wiki/Q5251772","display_name":"Degeneracy (biology)","level":2,"score":0.49411919713020325},{"id":"https://openalex.org/C2983787585","wikidata":"https://www.wikidata.org/wiki/Q93586","display_name":"Feature matching","level":3,"score":0.47238993644714355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45391255617141724},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.4479290843009949},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35404694080352783},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3504828214645386},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3346255421638489},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.09828746318817139},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C60644358","wikidata":"https://www.wikidata.org/wiki/Q128570","display_name":"Bioinformatics","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/rs10050747","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10050747","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},{"id":"pmh:oai:mdpi.com:/2072-4292/10/5/747/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/rs10050747","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Remote Sensing","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/rs10050747","is_oa":true,"landing_page_url":"https://doi.org/10.3390/rs10050747","pdf_url":null,"source":{"id":"https://openalex.org/S43295729","display_name":"Remote Sensing","issn_l":"2072-4292","issn":["2072-4292"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Remote Sensing","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W204002496","https://openalex.org/W1491719799","https://openalex.org/W1502510869","https://openalex.org/W1532362218","https://openalex.org/W1576879385","https://openalex.org/W1966540157","https://openalex.org/W1969047080","https://openalex.org/W2002632662","https://openalex.org/W2011891945","https://openalex.org/W2033819227","https://openalex.org/W2046434485","https://openalex.org/W2085261163","https://openalex.org/W2090020933","https://openalex.org/W2093713061","https://openalex.org/W2117228865","https://openalex.org/W2117248802","https://openalex.org/W2119605622","https://openalex.org/W2119747362","https://openalex.org/W2124087378","https://openalex.org/W2124386111","https://openalex.org/W2130017587","https://openalex.org/W2135405256","https://openalex.org/W2141584146","https://openalex.org/W2143083111","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2162137128","https://openalex.org/W2165558283","https://openalex.org/W2170282673","https://openalex.org/W2200154090","https://openalex.org/W2491179239","https://openalex.org/W2746837200","https://openalex.org/W6600769931","https://openalex.org/W6608388142","https://openalex.org/W6629564929","https://openalex.org/W6634389965","https://openalex.org/W6676770471","https://openalex.org/W6683579263","https://openalex.org/W7033090389"],"related_works":["https://openalex.org/W2769402452","https://openalex.org/W2091258128","https://openalex.org/W4385261474","https://openalex.org/W2106530324","https://openalex.org/W1983540692","https://openalex.org/W1988979648","https://openalex.org/W2362714107","https://openalex.org/W73815255","https://openalex.org/W2084993704","https://openalex.org/W4312286391"],"abstract_inverted_index":{"The":[0,152,210,268,302],"problem":[1,253],"of":[2,12,26,56,58,89,109,164,173,207,220,229,238,247,254,285,295,332],"feature":[3],"matching":[4,11,79,150,199,224,260],"comprises":[5],"detection,":[6],"description,":[7],"and":[8,35,112,182,218,222,288,315,324,334],"the":[9,33,43,59,78,87,90,110,126,134,156,161,165,180,183,204,208,216,223,227,236,243,252,259,265,293,306,320],"preliminary":[10],"features.":[13,151,196],"Commonly,":[14],"these":[15,140],"steps":[16],"are":[17,103,142,189],"followed":[18],"by":[19,66,144,275,292],"Random":[20],"Sample":[21],"Consensus":[22],"(RANSAC)":[23],"or":[24],"one":[25],"its":[27],"variants":[28],"in":[29,82,322],"order":[30],"to":[31,99,119,192,202,241,319],"filter":[32],"matches":[34,101,336],"find":[36,193],"a":[37,95,106,120,146,213,250,281,296,329],"correct":[38,115,127],"model,":[39],"which":[40,61,129,234],"is":[41,86,200,212,231,256,309,316],"usually":[42,232],"fundamental":[44,91,121,184,244],"matrix.":[45,92,185],"Unfortunately,":[46],"this":[47,138],"scheme":[48],"may":[49],"encounter":[50],"some":[51,57],"problems,":[52],"such":[53,94],"as":[54,158,160],"mismatches":[55],"features,":[60,176],"can":[62,130,178],"be":[63,72,131],"rejected":[64],"later":[65],"RANSAC.":[67,248],"Hence,":[68],"important":[69],"features":[70],"might":[71],"discarded":[73],"permanently.":[74],"Another":[75],"issue":[76],"facing":[77],"scheme,":[80],"especially":[81],"three-dimensional":[83],"(3D)":[84],"reconstruction,":[85,287],"degeneracy":[88,255],"In":[93,137],"case,":[96],"RANSAC":[97,266],"tends":[98],"select":[100],"that":[102,123,305],"concentrated":[104],"over":[105],"particular":[107],"area":[108],"images":[111,273,290],"rejects":[113],"other":[114,194],"matches.":[116],"This":[117],"leads":[118],"matrix":[122],"differs":[124],"from":[125],"one,":[128],"obtained":[132],"using":[133],"camera":[135,294],"parameters.":[136],"paper,":[139],"problems":[141],"tackled":[143],"providing":[145],"descriptor-less":[147],"method":[148,154,211,269,308],"for":[149,298],"proposed":[153,307],"utilises":[155],"geometric":[157],"well":[159],"radiometric":[162],"properties":[163],"image":[166],"pair.":[167],"Starting":[168],"with":[169,280,338],"an":[170,299],"initial":[171],"set":[172],"roughly":[174],"matched":[175],"we":[177],"compute":[179],"homography":[181],"These":[186],"two":[187],"entities":[188],"then":[190],"used":[191,201],"corresponding":[195],"Then,":[197],"template":[198],"enhance":[203],"predicted":[205],"locations":[206],"correspondences.":[209],"tradeoff":[214],"between":[215],"number":[217,228,331],"distribution":[219],"matches,":[221],"accuracy.":[225],"Moreover,":[226],"outliers":[230],"small,":[233],"encourages":[235],"use":[237],"least":[239],"squares":[240],"estimate":[242],"matrix,":[245],"instead":[246],"As":[249],"result,":[251],"targeted":[257],"at":[258,264],"level,":[261],"rather":[262,312],"than":[263,313],"level.":[267],"was":[270],"tested":[271],"on":[272,283,289],"taken":[274,291],"unmanned":[276],"aerial":[277],"vehicles":[278],"(UAVs),":[279],"focus":[282],"applications":[284],"3D":[286],"smartphone":[297],"indoor":[300],"environment.":[301],"results":[303],"emphasise":[304],"more":[310],"deterministic":[311],"probabilistic":[314],"also":[317,327],"robust":[318],"difference":[321],"orientation":[323],"scale.":[325],"It":[326],"achieves":[328],"higher":[330],"accurate":[333],"well-distributed":[335],"compared":[337],"state-of-the-art":[339],"methods.":[340]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}