{"id":"https://openalex.org/W2607603241","doi":"https://doi.org/10.1109/icpr.2016.7899663","title":"Siamese network features for image matching","display_name":"Siamese network features for image matching","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2607603241","doi":"https://doi.org/10.1109/icpr.2016.7899663","mag":"2607603241"},"language":"en","primary_location":{"id":"doi:10.1109/icpr.2016.7899663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","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/A5081819688","display_name":"Iaroslav Melekhov","orcid":"https://orcid.org/0000-0003-3819-5280"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Iaroslav Melekhov","raw_affiliation_strings":["Department of Computer Science, Aalto University, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalto University, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057931031","display_name":"Juho Kannala","orcid":"https://orcid.org/0000-0001-5088-4041"},"institutions":[{"id":"https://openalex.org/I9927081","display_name":"Aalto University","ror":"https://ror.org/020hwjq30","country_code":"FI","type":"education","lineage":["https://openalex.org/I9927081"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Juho Kannala","raw_affiliation_strings":["Department of Computer Science, Aalto University, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Aalto University, Finland","institution_ids":["https://openalex.org/I9927081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088180438","display_name":"Esa Rahtu","orcid":"https://orcid.org/0000-0001-8767-0864"},"institutions":[{"id":"https://openalex.org/I98381234","display_name":"University of Oulu","ror":"https://ror.org/03yj89h83","country_code":"FI","type":"education","lineage":["https://openalex.org/I98381234"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Esa Rahtu","raw_affiliation_strings":["Center for Machine Vision Research, University of Oulu"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Machine Vision Research, University of Oulu","institution_ids":["https://openalex.org/I98381234"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.529,"has_fulltext":false,"cited_by_count":359,"citation_normalized_percentile":{"value":0.97186451,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"378","last_page":"383"},"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":0.9998999834060669,"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":0.9998999834060669,"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":0.9983999729156494,"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":0.9980000257492065,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.8205814361572266},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.7425088882446289},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7231340408325195},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7114874720573425},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5921226739883423},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5708185434341431},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5489374995231628},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.5460333228111267},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4900623559951782},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4708803594112396},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43327414989471436},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17959997057914734}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.8205814361572266},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.7425088882446289},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7231340408325195},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7114874720573425},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5921226739883423},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5708185434341431},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5489374995231628},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.5460333228111267},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4900623559951782},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4708803594112396},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43327414989471436},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17959997057914734},{"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":2,"locations":[{"id":"doi:10.1109/icpr.2016.7899663","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icpr.2016.7899663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 23rd International Conference on Pattern Recognition (ICPR)","raw_type":"proceedings-article"},{"id":"pmh:oai:oulu.fi:nbnfi-fe2019090526960","is_oa":false,"landing_page_url":"http://urn.fi/urn:nbn:fi-fe2019090526960","pdf_url":null,"source":{"id":"https://openalex.org/S4306400284","display_name":"University of Oulu Repository (University of Oulu)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98381234","host_organization_name":"University of Oulu","host_organization_lineage":["https://openalex.org/I98381234"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W6908809","https://openalex.org/W21813003","https://openalex.org/W204268067","https://openalex.org/W1606858007","https://openalex.org/W1772650917","https://openalex.org/W1782590233","https://openalex.org/W1783842908","https://openalex.org/W1869500417","https://openalex.org/W1929856797","https://openalex.org/W1946093182","https://openalex.org/W1953588267","https://openalex.org/W1955055330","https://openalex.org/W1976526581","https://openalex.org/W2017512655","https://openalex.org/W2115579991","https://openalex.org/W2131846894","https://openalex.org/W2134670479","https://openalex.org/W2138621090","https://openalex.org/W2141362318","https://openalex.org/W2145287260","https://openalex.org/W2147800946","https://openalex.org/W2148809531","https://openalex.org/W2152161678","https://openalex.org/W2157364932","https://openalex.org/W2163605009","https://openalex.org/W2950094539","https://openalex.org/W2963502507","https://openalex.org/W6600908453","https://openalex.org/W6608313692","https://openalex.org/W6636412649","https://openalex.org/W6638039622","https://openalex.org/W6640083356","https://openalex.org/W6679792166"],"related_works":["https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W1972035260","https://openalex.org/W4399188509","https://openalex.org/W2318112981"],"abstract_inverted_index":{"Finding":[0],"matching":[1,33,71,99,122,144,166],"images":[2,38,146],"across":[3],"large":[4],"datasets":[5],"plays":[6],"a":[7,78,83],"key":[8],"role":[9],"in":[10,82,93,98,106,172],"many":[11],"computer":[12],"vision":[13],"applications":[14],"such":[15],"as":[16],"structure-from-motion":[17],"(SfM),":[18],"multi-view":[19],"3D":[20],"reconstruction,":[21],"image":[22,74,95,101,108,135,181,195],"retrieval,":[23],"and":[24,34,72,97,142,167,184],"image-based":[25],"localisation.":[26],"In":[27],"this":[28],"paper,":[29],"we":[30],"propose":[31],"finding":[32],"non-matching":[35,73,168],"pairs":[36,75,169,196],"of":[37,70,145,147,165],"by":[39,52,76,191],"representing":[40],"them":[41],"with":[42,60,129,197],"neural":[43,62],"network":[44,85],"based":[45],"feature":[46,56],"vectors,":[47],"whose":[48],"similarity":[49],"is":[50,158,170,186],"measured":[51],"Euclidean":[53],"distance.":[54],"The":[55,138,176],"vectors":[57],"are":[58,65,132,151,178],"obtained":[59,128],"convolutional":[61],"networks":[63,130],"which":[64,131,150],"learnt":[66],"from":[67],"labeled":[68],"examples":[69],"using":[77],"contrastive":[79],"loss":[80],"function":[81],"Siamese":[84,88],"architecture.":[86],"Previously":[87],"architecture":[89],"has":[90],"been":[91],"utilised":[92],"facial":[94],"verification":[96],"local":[100],"patches,":[102],"but":[103],"not":[104,152],"yet":[105],"generic":[107],"retrieval":[109,182],"or":[110],"whole-image":[111],"matching.":[112],"Our":[113],"experimental":[114],"results":[115,177],"show":[116],"that":[117,162],"the":[118,160,163],"proposed":[119],"features":[120,127,139],"improve":[121,143],"performance":[123],"compared":[124],"to":[125],"baseline":[126],"trained":[133],"for":[134,188],"classification":[136],"task.":[137],"generalize":[140],"well":[141],"new":[148],"landmarks":[149],"seen":[153],"at":[154],"training":[155,174,194],"time.":[156],"This":[157],"despite":[159],"fact":[161],"labeling":[164],"imperfect":[171],"our":[173],"data.":[175],"promising":[179],"considering":[180],"applications,":[183],"there":[185],"potential":[187],"further":[189],"improvement":[190],"utilising":[192],"more":[193,198],"accurate":[199],"ground":[200],"truth":[201],"labels.":[202]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":46},{"year":2024,"cited_by_count":63},{"year":2023,"cited_by_count":61},{"year":2022,"cited_by_count":54},{"year":2021,"cited_by_count":40},{"year":2020,"cited_by_count":37},{"year":2019,"cited_by_count":28},{"year":2018,"cited_by_count":15},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
