{"id":"https://openalex.org/W2991407818","doi":"https://doi.org/10.1109/access.2019.2953539","title":"Method for Fused Phase and PCA Direction Based on a SIFT Framework for Multi-Modal Image Matching","display_name":"Method for Fused Phase and PCA Direction Based on a SIFT Framework for Multi-Modal Image Matching","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2991407818","doi":"https://doi.org/10.1109/access.2019.2953539","mag":"2991407818"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2953539","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2953539","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08901124.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08901124.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5039805677","display_name":"Haiqiao Liu","orcid":"https://orcid.org/0000-0001-7818-5242"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiqiao Liu","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-7818-5242","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101439089","display_name":"Shibin Luo","orcid":"https://orcid.org/0000-0001-7105-635X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibin Luo","raw_affiliation_strings":["School of Aeronautics and Astronautics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-7105-635X","affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035700295","display_name":"Jiazhen Lu","orcid":"https://orcid.org/0000-0003-2391-7906"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiazhen Lu","raw_affiliation_strings":["School of Aeronautics and Astronautics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2391-7906","affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007638880","display_name":"Jing Dong","orcid":"https://orcid.org/0000-0001-9626-1704"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Dong","raw_affiliation_strings":["School of Aeronautics and Astronautics, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-9626-1704","affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.5084,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.70343427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"165356","last_page":"165364"},"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":0.9997000098228455,"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":0.9997000098228455,"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":0.9983000159263611,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9955000281333923,"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":0.8688391447067261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6291984915733337},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.6271460652351379},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.624819278717041},{"id":"https://openalex.org/keywords/image-matching","display_name":"Image matching","score":0.5932588577270508},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5883621573448181},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5712950825691223},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5397928357124329},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5205346345901489},{"id":"https://openalex.org/keywords/phase","display_name":"Phase (matter)","score":0.42858976125717163},{"id":"https://openalex.org/keywords/phase-congruency","display_name":"Phase congruency","score":0.42610517144203186},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2685371935367584},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11607995629310608},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.08011552691459656}],"concepts":[{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.8688391447067261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6291984915733337},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.6271460652351379},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.624819278717041},{"id":"https://openalex.org/C2986492983","wikidata":"https://www.wikidata.org/wiki/Q861092","display_name":"Image matching","level":3,"score":0.5932588577270508},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5883621573448181},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5712950825691223},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5397928357124329},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5205346345901489},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.42858976125717163},{"id":"https://openalex.org/C2777316791","wikidata":"https://www.wikidata.org/wiki/Q17105246","display_name":"Phase congruency","level":3,"score":0.42610517144203186},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2685371935367584},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11607995629310608},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.08011552691459656},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2953539","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2953539","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08901124.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7895f18942de46c2b80ebf7b9737adc2","is_oa":true,"landing_page_url":"https://doaj.org/article/7895f18942de46c2b80ebf7b9737adc2","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 165356-165364 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2953539","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2953539","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08901124.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1673073997","display_name":null,"funder_award_id":"2019zzts871","funder_id":"https://openalex.org/F4320321514","funder_display_name":"Central South University"},{"id":"https://openalex.org/G4473168191","display_name":null,"funder_award_id":"61802423","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321514","display_name":"Central South University","ror":"https://ror.org/00f1zfq44"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2991407818.pdf","grobid_xml":"https://content.openalex.org/works/W2991407818.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W1932198206","https://openalex.org/W1964855131","https://openalex.org/W1976361229","https://openalex.org/W2030233108","https://openalex.org/W2061263123","https://openalex.org/W2080878340","https://openalex.org/W2091755111","https://openalex.org/W2096733369","https://openalex.org/W2119605622","https://openalex.org/W2122992840","https://openalex.org/W2137796516","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2163605009","https://openalex.org/W2231495490","https://openalex.org/W2247290317","https://openalex.org/W2468641423","https://openalex.org/W2533007775","https://openalex.org/W2555176855","https://openalex.org/W2580558899","https://openalex.org/W2589547048","https://openalex.org/W2612637113","https://openalex.org/W2620038827","https://openalex.org/W2735497225","https://openalex.org/W2807846668","https://openalex.org/W2847088336","https://openalex.org/W2892931814","https://openalex.org/W2904098859","https://openalex.org/W2905913346","https://openalex.org/W2913885682","https://openalex.org/W2962821226","https://openalex.org/W2962964140","https://openalex.org/W2963001136","https://openalex.org/W2963744840","https://openalex.org/W2963869731","https://openalex.org/W3099206234","https://openalex.org/W3145984249","https://openalex.org/W4251502478","https://openalex.org/W6681554747","https://openalex.org/W6684191040","https://openalex.org/W6691272217","https://openalex.org/W6745272055"],"related_works":["https://openalex.org/W4206457185","https://openalex.org/W2791375867","https://openalex.org/W2060133567","https://openalex.org/W2083801808","https://openalex.org/W2360960220","https://openalex.org/W2374700396","https://openalex.org/W3080934496","https://openalex.org/W2120321595","https://openalex.org/W2163812102","https://openalex.org/W2617958085"],"abstract_inverted_index":{"The":[0,175],"high":[1],"noise":[2],"and":[3,39,79,146,155,167,192],"local":[4],"deformation":[5],"of":[6,12,43,52,65,76,101,104,112,118,164,182],"multi-modal":[7],"images":[8],"reduce":[9],"the":[10,29,34,40,49,63,66,74,77,84,90,93,99,102,105,108,115,132,152,158,162,172,180,197],"accuracy":[11,95],"scale":[13],"invariant":[14],"feature":[15],"transform":[16],"(SIFT)":[17],"image":[18,109,125],"matching.":[19],"To":[20],"solve":[21],"this":[22,58,187],"problem,":[23],"a":[24],"new":[25],"method":[26,61,71,160],"based":[27],"on":[28],"SIFT":[30,153],"framework,":[31],"which":[32,87],"fuses":[33,62],"phase":[35,68,110],"consistency":[36,135],"optimization":[37],"strategy":[38],"gradient":[41,113],"direction":[42,51,75,103,119],"principal":[44],"component":[45],"analysis":[46],"(PCA)":[47],"with":[48,151,196],"8":[50],"latitude":[53],"reduction,":[54],"is":[55,121,138],"proposed":[56,159],"in":[57,186],"paper.":[59],"This":[60],"histogram":[64],"orientated":[67],"congruency":[69],"(HOPC)":[70],"to":[72,82,98,140],"extract":[73,83],"image,":[78],"adopts":[80],"PCA":[81],"main":[85],"direction,":[86],"effectively":[88,122],"solves":[89],"problem":[91,117],"that":[92,149,179],"matching":[94,168],"decreases":[96],"due":[97],"inversion":[100],"image.":[106],"Using":[107],"instead":[111],"intensity,":[114],"difficult":[116],"extraction":[120],"solved":[123],"when":[124],"edge":[126],"characteristics":[127],"are":[128],"not":[129],"obvious.":[130],"Finally,":[131],"random":[133],"sample":[134],"(RANSAC)":[136],"algorithm":[137,154],"used":[139],"eliminate":[141],"false":[142],"match":[143,165,183],"points.":[144],"Simulation":[145],"experiments":[147],"show":[148,178],"compared":[150,195],"PCA-SIFT":[156],"algorithm,":[157],"improved":[161],"number":[163,181],"points":[166,184],"accuracy,":[169],"significantly":[170],"reduced":[171],"mismatching":[173],"rate.":[174],"statistical":[176],"results":[177],"raised":[185],"paper":[188],"increases":[189],"by":[190],"20.1%":[191],"200%":[193],"respectively":[194],"former":[198],"two":[199],"algorithms.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
