{"id":"https://openalex.org/W1974077352","doi":"https://doi.org/10.1109/tcsvt.2014.2382985","title":"Second-Order Configuration of Local Features for Geometrically Stable Image Matching and Retrieval","display_name":"Second-Order Configuration of Local Features for Geometrically Stable Image Matching and Retrieval","publication_year":2014,"publication_date":"2014-12-19","ids":{"openalex":"https://openalex.org/W1974077352","doi":"https://doi.org/10.1109/tcsvt.2014.2382985","mag":"1974077352"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2014.2382985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2014.2382985","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","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/A5036223449","display_name":"Xiaomeng Wu","orcid":"https://orcid.org/0000-0003-2816-1781"},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Xiaomeng Wu","raw_affiliation_strings":["NTT Communication Science Laboratories, Kanagawa, Japan",", NTT Communication Science Laboratories, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":", NTT Communication Science Laboratories, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061465935","display_name":"Kunio Kashino","orcid":null},"institutions":[{"id":"https://openalex.org/I2251713219","display_name":"NTT (Japan)","ror":"https://ror.org/00berct97","country_code":"JP","type":"company","lineage":["https://openalex.org/I2251713219"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kunio Kashino","raw_affiliation_strings":["NTT Communication Science Laboratories, Kanagawa, Japan",", NTT Communication Science Laboratories, Kanagawa, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Communication Science Laboratories, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]},{"raw_affiliation_string":", NTT Communication Science Laboratories, Kanagawa, Japan","institution_ids":["https://openalex.org/I2251713219"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036223449"],"corresponding_institution_ids":["https://openalex.org/I2251713219"],"apc_list":null,"apc_paid":null,"fwci":1.2357,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.82454666,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"25","issue":"8","first_page":"1395","last_page":"1408"},"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":1.0,"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":1.0,"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":0.9980000257492065,"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":0.9969000220298767,"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/discriminative-model","display_name":"Discriminative model","score":0.7152954339981079},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.615991473197937},{"id":"https://openalex.org/keywords/tuple","display_name":"Tuple","score":0.5813401937484741},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5669050216674805},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5418120622634888},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5039424300193787},{"id":"https://openalex.org/keywords/image-retrieval","display_name":"Image retrieval","score":0.45800304412841797},{"id":"https://openalex.org/keywords/scale-invariant-feature-transform","display_name":"Scale-invariant feature transform","score":0.45686787366867065},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.43283721804618835},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4237244129180908},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3928016722202301},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.25107988715171814}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7152954339981079},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.615991473197937},{"id":"https://openalex.org/C118930307","wikidata":"https://www.wikidata.org/wiki/Q600590","display_name":"Tuple","level":2,"score":0.5813401937484741},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5669050216674805},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5418120622634888},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5039424300193787},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.45800304412841797},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.45686787366867065},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.43283721804618835},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4237244129180908},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3928016722202301},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25107988715171814},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcsvt.2014.2382985","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2014.2382985","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"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 Circuits and Systems for Video Technology","raw_type":"journal-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.726.2086","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.726.2086","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.brl.ntt.co.jp/people/wu.xiaomeng/pdf/TCSVT14.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W73858164","https://openalex.org/W100433498","https://openalex.org/W117249969","https://openalex.org/W1556531089","https://openalex.org/W1972378554","https://openalex.org/W1976591483","https://openalex.org/W1979931042","https://openalex.org/W1980972548","https://openalex.org/W1981857004","https://openalex.org/W2003813371","https://openalex.org/W2023991840","https://openalex.org/W2042881681","https://openalex.org/W2065296697","https://openalex.org/W2068009185","https://openalex.org/W2068143350","https://openalex.org/W2077689834","https://openalex.org/W2081332440","https://openalex.org/W2084620961","https://openalex.org/W2088866137","https://openalex.org/W2100398441","https://openalex.org/W2108451171","https://openalex.org/W2109478355","https://openalex.org/W2111994703","https://openalex.org/W2113174871","https://openalex.org/W2114274324","https://openalex.org/W2122833801","https://openalex.org/W2129662884","https://openalex.org/W2131846894","https://openalex.org/W2133911915","https://openalex.org/W2141362318","https://openalex.org/W2146307402","https://openalex.org/W2148809531","https://openalex.org/W2149906774","https://openalex.org/W2151103935","https://openalex.org/W2151268690","https://openalex.org/W2154952031","https://openalex.org/W2165418521","https://openalex.org/W2166742463","https://openalex.org/W2168133252","https://openalex.org/W2170609167","https://openalex.org/W2172188317","https://openalex.org/W2315748380","https://openalex.org/W2577756916","https://openalex.org/W2901992801","https://openalex.org/W2917663306","https://openalex.org/W4247915583","https://openalex.org/W4251391716","https://openalex.org/W6604701743","https://openalex.org/W6633472159","https://openalex.org/W6666665630","https://openalex.org/W6676066654","https://openalex.org/W6676670809","https://openalex.org/W6682717316","https://openalex.org/W6834216331"],"related_works":["https://openalex.org/W3034955165","https://openalex.org/W2094920358","https://openalex.org/W2041448692","https://openalex.org/W2247121321","https://openalex.org/W2391926582","https://openalex.org/W1966831329","https://openalex.org/W2316074893","https://openalex.org/W2020188645","https://openalex.org/W4237936143","https://openalex.org/W2030690614"],"abstract_inverted_index":{"Local":[0],"features":[1,26,146],"offer":[2],"high":[3],"repeatability,":[4],"which":[5],"supports":[6],"efficient":[7],"matching":[8,34,101],"between":[9],"images,":[10],"but":[11,31],"they":[12],"do":[13],"not":[14],"provide":[15],"sufficient":[16],"discriminative":[17,29],"power.":[18],"Imposing":[19],"a":[20,41,56,99,132,136,162],"geometric":[21],"coherence":[22],"constraint":[23],"on":[24,147],"local":[25,61,145],"improves":[27],"the":[28,33,48,74,106,119,126,148,198],"power":[30],"makes":[32],"sensitive":[35],"to":[36,46,72,139,165],"anisotropic":[37,88],"transformations.":[38],"We":[39,63,97,173],"propose":[40,131],"novel":[42],"feature":[43,77,109],"representation":[44,82],"approach":[45,134,177,202],"solve":[47],"latter":[49],"problem.":[50],"Each":[51],"image":[52,204],"is":[53],"abstracted":[54],"by":[55,103],"set":[57],"of":[58,60,78,128,144,150,200],"tuples":[59,143],"features.":[62],"revisit":[64],"affine":[65],"shape":[66],"adaptation":[67],"and":[68,90,160,171,185,192],"extend":[69],"its":[70],"conclusion":[71],"characterize":[73],"geometrically":[75,107],"stable":[76,108],"each":[79],"tuple.":[80],"The":[81],"thus":[83],"provides":[84],"higher":[85],"repeatability":[86],"with":[87,194],"scaling":[89],"shearing":[91],"than":[92],"found":[93],"in":[94,105,167,203],"previous":[95],"research.":[96],"develop":[98],"simple":[100],"model":[102],"voting":[104],"space,":[110],"where":[111],"votes":[112],"arise":[113],"from":[114],"tuple":[115],"correspondences.":[116],"To":[117],"make":[118],"required":[120],"index":[121],"space":[122],"linear":[123],"as":[124],"regards":[125],"number":[127],"features,":[129],"we":[130],"second":[133],"called":[135],"centrality-sensitive":[137],"pyramid":[138],"select":[140],"potentially":[141],"meaningful":[142],"basis":[149],"their":[151],"spatial":[152],"neighborhood":[153,158],"information.":[154],"It":[155],"achieves":[156],"faster":[157],"association":[159],"has":[161],"greater":[163],"robustness":[164],"errors":[166],"interest":[168],"point":[169],"detection":[170],"description.":[172],"comprehensively":[174],"evaluated":[175],"our":[176,201],"using":[178],"Flickr":[179,186],"Logos":[180],"32,":[181],"Holiday,":[182],"Oxford":[183],"Buildings,":[184],"100":[187],"K":[188],"benchmarks.":[189],"Extensive":[190],"experiments":[191],"comparisons":[193],"advanced":[195],"approaches":[196],"demonstrate":[197],"superiority":[199],"retrieval":[205],"tasks.":[206]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
