{"id":"https://openalex.org/W4238257000","doi":"https://doi.org/10.1109/icpr.2004.1334615","title":"Graph based image matching","display_name":"Graph based image matching","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4238257000","doi":"https://doi.org/10.1109/icpr.2004.1334615"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334615","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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/A5100779276","display_name":"Hui Jiang","orcid":"https://orcid.org/0000-0003-2718-9811"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hui Jiang","raw_affiliation_strings":["Dept. of Comput. Sci., City Univ. of Hong Kong, Kowloon, China","Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Comput. Sci., City Univ. of Hong Kong, Kowloon, China","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010722442","display_name":"Chong\u2010Wah Ngo","orcid":"https://orcid.org/0000-0003-4182-8261"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chong-Wah Ngo","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I168719708"],"apc_list":null,"apc_paid":null,"fwci":0.2378,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.49957041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"658","last_page":"661 Vol.3"},"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":0.9994000196456909,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9973999857902527,"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/bipartite-graph","display_name":"Bipartite graph","score":0.670535147190094},{"id":"https://openalex.org/keywords/3-dimensional-matching","display_name":"3-dimensional matching","score":0.6019642353057861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5603238344192505},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5183092951774597},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.5106242299079895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49464914202690125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4743063449859619},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.46389201283454895},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.44921261072158813},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4286923110485077},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3431744873523712},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32753533124923706}],"concepts":[{"id":"https://openalex.org/C197657726","wikidata":"https://www.wikidata.org/wiki/Q174733","display_name":"Bipartite graph","level":3,"score":0.670535147190094},{"id":"https://openalex.org/C72545166","wikidata":"https://www.wikidata.org/wiki/Q10866593","display_name":"3-dimensional matching","level":4,"score":0.6019642353057861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5603238344192505},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5183092951774597},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.5106242299079895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49464914202690125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4743063449859619},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.46389201283454895},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.44921261072158813},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4286923110485077},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3431744873523712},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32753533124923706},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C105580179","wikidata":"https://www.wikidata.org/wiki/Q188928","display_name":"Messenger RNA","level":3,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1334615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334615","pdf_url":null,"source":{"id":"https://openalex.org/S4363608750","display_name":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","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":"Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1571847560","https://openalex.org/W1963623641","https://openalex.org/W2168358734","https://openalex.org/W2914885528","https://openalex.org/W4205141462"],"related_works":["https://openalex.org/W2054458431","https://openalex.org/W2077309407","https://openalex.org/W2567825307","https://openalex.org/W2371352078","https://openalex.org/W1592682627","https://openalex.org/W4295762832","https://openalex.org/W2945016732","https://openalex.org/W2785998768","https://openalex.org/W2362975861","https://openalex.org/W2804963084"],"abstract_inverted_index":{"Given":[0],"two":[1],"or":[2],"more":[3],"images,":[4],"we":[5,47],"can":[6,109],"define":[7],"different":[8,30,42],"but":[9],"related":[10],"problems":[11,28,55],"on":[12,61],"pattern":[13,19,25],"matching":[14,88],"such":[15],"as":[16,36,76,115,117],"image":[17],"registration,":[18],"detection":[20],"and":[21,23,34,72,113,119],"localization,":[22],"common":[24],"discovery.":[26],"These":[27],"have":[29],"levels":[31],"of":[32,123],"purpose":[33],"difficulties,":[35],"a":[37,49,57,77,80],"result,":[38],"often":[39],"associate":[40],"with":[41],"solutions.":[43],"In":[44],"this":[45],"paper,":[46],"propose":[48],"novel":[50],"approach":[51,108,125],"to":[52,97],"solve":[53],"these":[54],"under":[56],"unified":[58],"framework":[59],"based":[60],"graph":[62,87],"matching.":[63],"We":[64],"first":[65],"split":[66],"the":[67,99],"images":[68],"into":[69],"small":[70],"blocks":[71],"represent":[73],"each":[74],"block":[75],"node":[78],"in":[79,93],"bipartite":[81,86],"graph.":[82],"A":[83],"maximum":[84],"weighted":[85],"algorithm":[89],"is":[90,126],"then":[91],"employed":[92],"an":[94],"iterative":[95],"way":[96],"find":[98],"best":[100],"transformation":[101],"set.":[102],"Experimental":[103],"results":[104],"show":[105],"that":[106],"our":[107,124],"handle":[110],"rotation,":[111],"scaling":[112],"translation,":[114],"well":[116],"distortion":[118],"occlusion.":[120],"Another":[121],"virtue":[122],"its":[127],"efficiency.":[128]},"counts_by_year":[{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
