{"id":"https://openalex.org/W4246091765","doi":"https://doi.org/10.1109/icpr.2004.1334386","title":"A graph-based approach to corner matching using mutual information as a local similarity measure","display_name":"A graph-based approach to corner matching using mutual information as a local similarity measure","publication_year":2004,"publication_date":"2004-01-01","ids":{"openalex":"https://openalex.org/W4246091765","doi":"https://doi.org/10.1109/icpr.2004.1334386"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2004.1334386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334386","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/A5074591926","display_name":"Manolis Lourakis","orcid":"https://orcid.org/0000-0003-4596-5773"},"institutions":[{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"M.I.A. Lourakis","raw_affiliation_strings":["Institute of Computer Science, Foundation for Research and Technology Hellas, Crete, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research and Technology Hellas, Crete, Greece","institution_ids":["https://openalex.org/I8901234"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023467254","display_name":"Antonis Argyros","orcid":"https://orcid.org/0000-0001-8230-3192"},"institutions":[{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"A.A. Argyros","raw_affiliation_strings":["Institute of Computer Science, Foundation for Research and Technology Hellas, Crete, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research and Technology Hellas, Crete, Greece","institution_ids":["https://openalex.org/I8901234"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014640458","display_name":"Kostas Marias","orcid":"https://orcid.org/0000-0003-3783-5223"},"institutions":[{"id":"https://openalex.org/I8901234","display_name":"Foundation for Research and Technology Hellas","ror":"https://ror.org/052rphn09","country_code":"GR","type":"facility","lineage":["https://openalex.org/I8901234"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"K. Marias","raw_affiliation_strings":["Institute of Computer Science, Foundation for Research and Technology Hellas, Crete, Greece"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, Foundation for Research and Technology Hellas, Crete, Greece","institution_ids":["https://openalex.org/I8901234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I8901234"],"apc_list":null,"apc_paid":null,"fwci":0.4756,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.61477779,"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":"827","last_page":"830 Vol.2"},"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":0.9998000264167786,"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":0.9998000264167786,"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":0.9994999766349792,"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/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"}}],"keywords":[{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7392454147338867},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.6265391111373901},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.6113112568855286},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5894514322280884},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5803589820861816},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5740548372268677},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5663050413131714},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5319827795028687},{"id":"https://openalex.org/keywords/window","display_name":"Window (computing)","score":0.528631329536438},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46575719118118286},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4620235860347748},{"id":"https://openalex.org/keywords/graph-theory","display_name":"Graph theory","score":0.4328880310058594},{"id":"https://openalex.org/keywords/similitude","display_name":"Similitude","score":0.41703498363494873},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38936647772789},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34515249729156494},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2837246060371399},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1273859441280365},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07280436158180237},{"id":"https://openalex.org/keywords/combinatorics","display_name":"Combinatorics","score":0.06131953001022339}],"concepts":[{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7392454147338867},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.6265391111373901},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.6113112568855286},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5894514322280884},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5803589820861816},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5740548372268677},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5663050413131714},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5319827795028687},{"id":"https://openalex.org/C2778751112","wikidata":"https://www.wikidata.org/wiki/Q835016","display_name":"Window (computing)","level":2,"score":0.528631329536438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46575719118118286},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4620235860347748},{"id":"https://openalex.org/C88230418","wikidata":"https://www.wikidata.org/wiki/Q131476","display_name":"Graph theory","level":2,"score":0.4328880310058594},{"id":"https://openalex.org/C143271835","wikidata":"https://www.wikidata.org/wiki/Q254515","display_name":"Similitude","level":2,"score":0.41703498363494873},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38936647772789},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34515249729156494},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2837246060371399},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1273859441280365},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07280436158180237},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.06131953001022339},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icpr.2004.1334386","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2004.1334386","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1963951527","https://openalex.org/W2011891945","https://openalex.org/W2105456967","https://openalex.org/W2108002272","https://openalex.org/W2111308925","https://openalex.org/W2113226010","https://openalex.org/W2123401890","https://openalex.org/W2124465992","https://openalex.org/W2131229537","https://openalex.org/W2134753054","https://openalex.org/W2156875677","https://openalex.org/W2165107146","https://openalex.org/W2165497495","https://openalex.org/W2752885492","https://openalex.org/W6676923985"],"related_works":["https://openalex.org/W2323025356","https://openalex.org/W2342977227","https://openalex.org/W4249547761","https://openalex.org/W2522414999","https://openalex.org/W2470492391","https://openalex.org/W73923811","https://openalex.org/W2098763197","https://openalex.org/W195918318","https://openalex.org/W1979382226","https://openalex.org/W2293099464"],"abstract_inverted_index":{"Corner":[0],"matching":[1,69,83,88],"constitutes":[2],"a":[3,10,62,76,87],"fundamental":[4],"vision":[5],"problem":[6,24,70],"that":[7,71,91],"serves":[8],"as":[9,75],"building":[11],"block":[12],"of":[13,40,89,100],"several":[14],"important":[15],"applications.":[16],"The":[17],"common":[18],"approach":[19,64],"to":[20,31],"dealing":[21],"with":[22,37,81],"this":[23],"starts":[25],"by":[26,50],"ranking":[27],"potential":[28,56],"matches":[29,47],"according":[30],"their":[32],"affinity,":[33],"which":[34],"is":[35,92],"assessed":[36],"the":[38,67,98,101],"aid":[39],"window-based":[41],"intensity":[42],"similarity":[43,78],"measures.":[44],"Then,":[45],"actual":[46],"are":[48],"established":[49],"optimizing":[51],"global":[52],"criteria":[53],"involving":[54],"all":[55],"matches.":[57],"This":[58],"paper":[59],"puts":[60],"forward":[61],"novel":[63],"for":[65,85],"solving":[66],"corner":[68],"uses":[72],"mutual":[73],"information":[74],"window":[77],"measure,":[79],"combined":[80],"graph":[82],"techniques":[84],"determining":[86],"corners":[90],"globally":[93],"optimal.":[94],"Experimental":[95],"results":[96],"illustrate":[97],"effectiveness":[99],"approach.":[102]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
