{"id":"https://openalex.org/W3165162620","doi":"https://doi.org/10.2352/cic.2014.22.1.art00019","title":"Efficient POC-based Correspondence Detection Method for Multi-channel Images","display_name":"Efficient POC-based Correspondence Detection Method for Multi-channel Images","publication_year":2014,"publication_date":"2014-11-03","ids":{"openalex":"https://openalex.org/W3165162620","doi":"https://doi.org/10.2352/cic.2014.22.1.art00019","mag":"3165162620"},"language":"en","primary_location":{"id":"doi:10.2352/cic.2014.22.1.art00019","is_oa":false,"landing_page_url":"http://dx.doi.org/10.2352/cic.2014.22.1.art00019","pdf_url":null,"source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","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/A5112554810","display_name":"Masanori Tsuchida","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"M. Tsuchida","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111639698","display_name":"S. Sakai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"S. Sakai","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038154559","display_name":"Koichi Ito","orcid":"https://orcid.org/0000-0001-7431-7105"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Ito","raw_affiliation_strings":["INF - Computer and Mathematical Sciences"],"affiliations":[{"raw_affiliation_string":"INF - Computer and Mathematical Sciences","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061465935","display_name":"Kunio Kashino","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K. Kashino","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017815880","display_name":"Junji Yamato","orcid":"https://orcid.org/0000-0003-1634-7984"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"J. Yamato","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002427365","display_name":"Tsuyoshi Aoki","orcid":"https://orcid.org/0000-0001-7495-8703"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Aoki","raw_affiliation_strings":["INF - Computer and Mathematical Sciences"],"affiliations":[{"raw_affiliation_string":"INF - Computer and Mathematical Sciences","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5112554810"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2439,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.65705184,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"22","issue":"1","first_page":"113","last_page":"118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9866999983787537,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9866999983787537,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/T12983","display_name":"Satellite Image Processing and Photogrammetry","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6662353277206421},{"id":"https://openalex.org/keywords/phase-correlation","display_name":"Phase correlation","score":0.6264859437942505},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5811475515365601},{"id":"https://openalex.org/keywords/cross-correlation","display_name":"Cross-correlation","score":0.5492968559265137},{"id":"https://openalex.org/keywords/fourier-transform","display_name":"Fourier transform","score":0.5303911566734314},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49196383357048035},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4852001965045929},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4687514305114746},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.4680848717689514},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4409845471382141},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4355073571205139},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41005939245224},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.38962092995643616},{"id":"https://openalex.org/keywords/fourier-analysis","display_name":"Fourier analysis","score":0.22182312607765198},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.16938495635986328},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12976661324501038},{"id":"https://openalex.org/keywords/short-time-fourier-transform","display_name":"Short-time Fourier transform","score":0.1138593852519989},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.0994667112827301},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06389525532722473}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6662353277206421},{"id":"https://openalex.org/C93509452","wikidata":"https://www.wikidata.org/wiki/Q7180943","display_name":"Phase correlation","level":5,"score":0.6264859437942505},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5811475515365601},{"id":"https://openalex.org/C163018871","wikidata":"https://www.wikidata.org/wiki/Q1302587","display_name":"Cross-correlation","level":2,"score":0.5492968559265137},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.5303911566734314},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49196383357048035},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4852001965045929},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4687514305114746},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.4680848717689514},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4409845471382141},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4355073571205139},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41005939245224},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.38962092995643616},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.22182312607765198},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.16938495635986328},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12976661324501038},{"id":"https://openalex.org/C166386157","wikidata":"https://www.wikidata.org/wiki/Q1477735","display_name":"Short-time Fourier transform","level":4,"score":0.1138593852519989},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0994667112827301},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06389525532722473},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.2352/cic.2014.22.1.art00019","is_oa":false,"landing_page_url":"http://dx.doi.org/10.2352/cic.2014.22.1.art00019","pdf_url":null,"source":{"id":"https://openalex.org/S4210193667","display_name":"Color and Imaging Conference","issn_l":"2166-9635","issn":["2166-9635","2169-2629"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Color and Imaging Conference","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2033702064","https://openalex.org/W1606847055","https://openalex.org/W4313178674","https://openalex.org/W2358337164","https://openalex.org/W1974888188","https://openalex.org/W769655569","https://openalex.org/W2089664810","https://openalex.org/W2084330196","https://openalex.org/W1978274355","https://openalex.org/W333375660"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,35,84,120,131],"new":[3],"POC":[4,85],"(phase-only":[5],"correlation)-based":[6],"highaccuracy":[7],"correspondence":[8],"detection":[9,20,126],"method":[10,98,102,118],"for":[11,46],"multi-channel":[12],"images.":[13],"There":[14],"is":[15,56,80,134],"the":[16,32,51,59,62,91,95,100,116],"possibility":[17],"of":[18,61,70,90,115,128],"improving":[19],"accuracy":[21,93],"because":[22],"conventional":[23,96],"POC-based":[24,97],"methods":[25],"do":[26],"not":[27],"use":[28],"color":[29,48,72],"information.":[30],"In":[31],"proposed":[33,101,117],"method,":[34],"normalized":[36,67],"cross":[37,63,68],"spectrum":[38],"(or":[39],"cross-phase":[40],"spectrum)":[41],"and":[42,76,99],"weight":[43,55],"are":[44,74],"calculated":[45],"each":[47],"channel":[49],"in":[50],"Fourier":[52,78],"domain.":[53],"The":[54,65,124],"determined":[57],"by":[58],"amplitude":[60],"spectrum.":[64],"weighted":[66],"spectra":[69],"all":[71],"channels":[73],"combined":[75],"inverse":[77],"transformation":[79],"conducted":[81],"to":[82,119,137],"obtain":[83],"function.":[86],"An":[87],"experimental":[88],"evaluation":[89],"matching":[92],"between":[94,130],"shows":[103],"that":[104],"RMSE":[105],"decreased":[106],"approximately":[107],"25%.":[108],"This":[109],"paper":[110],"also":[111],"describes":[112],"an":[113],"application":[114],"stereo":[121],"image":[122,133],"matching.":[123],"average":[125],"ratio":[127],"correspondences":[129],"stereo-pare":[132],"improved":[135],"64%":[136],"95%.":[138]},"counts_by_year":[{"year":2017,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}