{"id":"https://openalex.org/W4315472322","doi":"https://doi.org/10.1109/icarcv57592.2022.10004358","title":"Multimodal Image Matching using Phase Congruency-based Self-Similarity Structural Features","display_name":"Multimodal Image Matching using Phase Congruency-based Self-Similarity Structural Features","publication_year":2022,"publication_date":"2022-12-11","ids":{"openalex":"https://openalex.org/W4315472322","doi":"https://doi.org/10.1109/icarcv57592.2022.10004358"},"language":"en","primary_location":{"id":"doi:10.1109/icarcv57592.2022.10004358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv57592.2022.10004358","pdf_url":null,"source":{"id":"https://openalex.org/S4363608251","display_name":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5005864781","display_name":"Jianwei Fan","orcid":"https://orcid.org/0000-0002-9793-1092"},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianwei Fan","raw_affiliation_strings":["School of Computer and Information Technology, Xinyang Normal University,Xinyang,China,464000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University,Xinyang,China,464000","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081644287","display_name":"Qing Xiong","orcid":"https://orcid.org/0009-0003-0153-5138"},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Xiong","raw_affiliation_strings":["School of Computer and Information Technology, Xinyang Normal University,Xinyang,China,464000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University,Xinyang,China,464000","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402515","display_name":"Jian Li","orcid":"https://orcid.org/0000-0002-5749-2734"},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Li","raw_affiliation_strings":["School of Computer and Information Technology, Xinyang Normal University,Xinyang,China,464000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University,Xinyang,China,464000","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029139453","display_name":"Guichi Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I130750295","display_name":"Xinyang Normal University","ror":"https://ror.org/0190x2a66","country_code":"CN","type":"education","lineage":["https://openalex.org/I130750295"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guichi Liu","raw_affiliation_strings":["School of Computer and Information Technology, Xinyang Normal University,Xinyang,China,464000"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Information Technology, Xinyang Normal University,Xinyang,China,464000","institution_ids":["https://openalex.org/I130750295"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080100316","display_name":"Wanying Song","orcid":"https://orcid.org/0000-0002-3777-067X"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wanying Song","raw_affiliation_strings":["Xi'an University of Science and Technology,Xi'an Key Laboratory of Heterogeneous Network Convergence Communication,Xian,China,710054"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi'an University of Science and Technology,Xi'an Key Laboratory of Heterogeneous Network Convergence Communication,Xian,China,710054","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0925,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42677785,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"322","last_page":"325"},"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":0.9994000196456909,"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":0.9994000196456909,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9937999844551086,"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":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/phase-congruency","display_name":"Phase congruency","score":0.8760299682617188},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7635740041732788},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6610641479492188},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.6577125787734985},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6528725624084473},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.6514143943786621},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6184526085853577},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5243775248527527},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.4861981272697449},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.4842790961265564},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47932350635528564},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.44191524386405945},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.42934828996658325},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.41514936089515686},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.30847376585006714},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.1462547779083252}],"concepts":[{"id":"https://openalex.org/C2777316791","wikidata":"https://www.wikidata.org/wiki/Q17105246","display_name":"Phase congruency","level":3,"score":0.8760299682617188},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7635740041732788},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6610641479492188},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6577125787734985},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6528725624084473},{"id":"https://openalex.org/C120174047","wikidata":"https://www.wikidata.org/wiki/Q847073","display_name":"Euclidean distance","level":2,"score":0.6514143943786621},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6184526085853577},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5243775248527527},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.4861981272697449},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.4842790961265564},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47932350635528564},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.44191524386405945},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.42934828996658325},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.41514936089515686},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.30847376585006714},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.1462547779083252},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icarcv57592.2022.10004358","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icarcv57592.2022.10004358","pdf_url":null,"source":{"id":"https://openalex.org/S4363608251","display_name":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 17th International Conference on Control, Automation, Robotics and Vision (ICARCV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1348881003","display_name":null,"funder_award_id":"62002307","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2047243114","https://openalex.org/W2051725640","https://openalex.org/W2080878340","https://openalex.org/W2144502914","https://openalex.org/W2147555557","https://openalex.org/W2151103935","https://openalex.org/W2559871160","https://openalex.org/W2589547048","https://openalex.org/W2792119716","https://openalex.org/W2795346137","https://openalex.org/W2991908835","https://openalex.org/W4285192557"],"related_works":["https://openalex.org/W4205890696","https://openalex.org/W1584718735","https://openalex.org/W3111740253","https://openalex.org/W2902282441","https://openalex.org/W2043960970","https://openalex.org/W2907196492","https://openalex.org/W1970141873","https://openalex.org/W2157579282","https://openalex.org/W1982925424","https://openalex.org/W2811335600"],"abstract_inverted_index":{"Due":[0],"to":[1],"the":[2,40,46,50,54,60,63,77,83,87,102,113,119,125],"significant":[3],"differences":[4],"in":[5,110,122],"geometric":[6],"and":[7,118],"nonlinear":[8],"intensity,":[9],"multimodal":[10,37,74,97],"image":[11,98],"matching":[12,27,84,108],"is":[13,71,80],"still":[14],"a":[15,25,65],"challenging":[16],"problem.":[17],"To":[18],"address":[19],"this":[20,22],"issue,":[21],"paper":[23],"proposes":[24],"novel":[26],"method":[28,104],"using":[29],"phase":[30],"congruency":[31],"(PC)-based":[32],"self-similarity":[33,67],"structural":[34,68],"features":[35],"for":[36,73,86],"images.":[38,75],"Firstly,":[39],"feature":[41],"points":[42],"are":[43],"extracted":[44],"from":[45],"PC":[47],"maps":[48],"of":[49,62,112,115],"original":[51],"images":[52],"by":[53],"Harris":[55],"detector.":[56],"Then,":[57],"combined":[58],"with":[59,124],"theory":[61],"self-similarity,":[64],"PC-based":[66],"(PCSS)":[69],"descriptor":[70],"designed":[72],"Finally,":[76],"Euclidean":[78],"distance":[79],"used":[81],"as":[82],"measure":[85],"corresponding":[88],"point":[89],"recognition.":[90],"Experimental":[91],"results":[92],"conducted":[93],"on":[94],"various":[95],"real":[96],"pairs":[99],"demonstrate":[100],"that":[101],"proposed":[103],"can":[105],"achieve":[106],"better":[107],"performance":[109],"terms":[111],"number":[114],"correct":[116],"matches":[117],"registration":[120],"precision":[121],"comparison":[123],"traditional":[126],"methods.":[127]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}