{"id":"https://openalex.org/W1544479249","doi":"https://doi.org/10.1109/tip.2015.2456633","title":"A Feature Point Matching Based on Spatial Order Constraints Bilateral-Neighbor Vote","display_name":"A Feature Point Matching Based on Spatial Order Constraints Bilateral-Neighbor Vote","publication_year":2015,"publication_date":"2015-07-15","ids":{"openalex":"https://openalex.org/W1544479249","doi":"https://doi.org/10.1109/tip.2015.2456633","mag":"1544479249","pmid":"https://pubmed.ncbi.nlm.nih.gov/26186790"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2015.2456633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2456633","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5038040039","display_name":"Fanyang Meng","orcid":"https://orcid.org/0000-0001-5725-2178"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fanyang Meng","raw_affiliation_strings":["College of Information Engineering, Shenzhen University, Shenzhen, China","College of Information Engineering, Shenzhen University Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Information Engineering, Shenzhen University Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050217287","display_name":"Xia Li","orcid":"https://orcid.org/0000-0002-5178-8059"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xia Li","raw_affiliation_strings":["Shenzhen Key Laboratory Advanced Communication and Information Processing, College of Information Engineering, Shenzhen University, Shenzhen, China","[Shenzhen Key Laboratory Advanced Communication and Information Processing, College of Information Engineering, Shenzhen University, Shenzhen, China]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Key Laboratory Advanced Communication and Information Processing, College of Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"[Shenzhen Key Laboratory Advanced Communication and Information Processing, College of Information Engineering, Shenzhen University, Shenzhen, China]","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048699364","display_name":"Jihong Pei","orcid":"https://orcid.org/0000-0002-0759-9568"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jihong Pei","raw_affiliation_strings":["College of Information Engineering, Shenzhen University, Shenzhen, China","College of Information Engineering, Shenzhen University Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"College of Information Engineering, Shenzhen University Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9954,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.94040822,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"11","first_page":"4160","last_page":"4171"},"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":0.9995999932289124,"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":0.9995999932289124,"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":0.9984999895095825,"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/T10052","display_name":"Medical Image Segmentation Techniques","score":0.9853000044822693,"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/ransac","display_name":"RANSAC","score":0.8957811594009399},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7099294662475586},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6855384111404419},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6301223039627075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5650041103363037},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5387901067733765},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4744254946708679},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.473499596118927},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.45602816343307495},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.4553350806236267},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.40076082944869995},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.18074986338615417}],"concepts":[{"id":"https://openalex.org/C114744707","wikidata":"https://www.wikidata.org/wiki/Q218533","display_name":"RANSAC","level":3,"score":0.8957811594009399},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7099294662475586},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6855384111404419},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6301223039627075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5650041103363037},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5387901067733765},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4744254946708679},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.473499596118927},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.45602816343307495},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4553350806236267},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40076082944869995},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.18074986338615417},{"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/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":2,"locations":[{"id":"doi:10.1109/tip.2015.2456633","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2456633","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:26186790","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/26186790","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.550000011920929},{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G5833272871","display_name":null,"funder_award_id":"U1301251","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6952756739","display_name":null,"funder_award_id":"61331021","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1537500158","https://openalex.org/W1677409904","https://openalex.org/W1825911702","https://openalex.org/W1974708980","https://openalex.org/W1978009346","https://openalex.org/W1979454971","https://openalex.org/W1995921081","https://openalex.org/W1996362816","https://openalex.org/W2022281945","https://openalex.org/W2043939317","https://openalex.org/W2076321176","https://openalex.org/W2085261163","https://openalex.org/W2107404323","https://openalex.org/W2116801532","https://openalex.org/W2122111042","https://openalex.org/W2124386111","https://openalex.org/W2147555557","https://openalex.org/W2150760714","https://openalex.org/W2154107515","https://openalex.org/W2166785998","https://openalex.org/W2166820607","https://openalex.org/W2168002178","https://openalex.org/W2168689650","https://openalex.org/W2177274842","https://openalex.org/W2314721981","https://openalex.org/W6632320445","https://openalex.org/W6682626539"],"related_works":["https://openalex.org/W2131378265","https://openalex.org/W2984240274","https://openalex.org/W2981196697","https://openalex.org/W3012182724","https://openalex.org/W2115876589","https://openalex.org/W1988708904","https://openalex.org/W2769402452","https://openalex.org/W2091258128","https://openalex.org/W1983540692","https://openalex.org/W1968695676"],"abstract_inverted_index":{"Feature":[0],"point":[1,20,62,93],"matching":[2,21,63],"is":[3,30,55,64,79,106,122,138,160],"a":[4,17,36,67,92],"fundamental":[5],"and":[6,57,113,137,152,173],"challenging":[7],"problem":[8,59],"in":[9],"many":[10],"computer":[11],"vision":[12],"applications.":[13],"In":[14,71],"this":[15],"paper,":[16],"robust":[18],"feature":[19,61],"algorithm":[22,144],"named":[23],"spatial":[24,83,114],"order":[25,84,115],"constraints":[26,85],"bilateral-neighbor":[27],"vote":[28,118],"(SOCBV)":[29],"proposed":[31,186],"to":[32,94],"remove":[33],"outliers":[34,147],"for":[35,140,184],"set":[37,136],"of":[38,52,60,103,119],"matches":[39],"(including":[40],"outliers)":[41],"between":[42],"two":[43],"images.":[44],"A":[45],"directed":[46,150],"k":[47],"nearest":[48],"neighbor":[49],"(knn)":[50],"graph":[51,151],"match":[53,105,121],"sets":[54,180],"generated,":[56],"the":[58,72,75,82,88,98,109,149,154,157,185],"formulated":[65],"as":[66,168],"binary":[68],"discrimination":[69,73],"problem.":[70],"process,":[74],"class":[76,101,128],"labeled":[77],"matrix":[78],"built":[80],"via":[81],"defined":[86],"on":[87],"edges":[89],"that":[90,130],"connect":[91],"its":[95,133],"knn.":[96],"Then,":[97],"posterior":[99,127],"inlier":[100],"probability":[102],"each":[104,120],"estimated":[107],"with":[108,163],"knn":[110],"density":[111],"estimation":[112],"constraints.":[116],"The":[117,143],"determined":[123],"by":[124],"averaging":[125],"all":[126],"probabilities":[129],"originate":[131],"from":[132,148],"associative":[134],"inliers":[135],"used":[139],"removing":[141],"outliers.":[142],"iteratively":[145],"removes":[146],"recomputes":[153],"votes":[155],"until":[156],"stopping":[158],"condition":[159],"satisfied.":[161],"Compared":[162],"other":[164],"popular":[165],"algorithms,":[166],"such":[167],"RANSAC,":[169],"RSOC,":[170],"GTM,":[171],"SOC":[172],"WGTM,":[174],"experiments":[175],"under":[176],"various":[177],"testing":[178],"data":[179],"demonstrate":[181],"strong":[182],"robustness":[183],"algorithm.":[187]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":6},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
