{"id":"https://openalex.org/W2154489919","doi":"https://doi.org/10.1109/cvpr.2008.4587684","title":"Edge descriptors for robust wide-baseline correspondence","display_name":"Edge descriptors for robust wide-baseline correspondence","publication_year":2008,"publication_date":"2008-06-01","ids":{"openalex":"https://openalex.org/W2154489919","doi":"https://doi.org/10.1109/cvpr.2008.4587684","mag":"2154489919"},"language":"en","primary_location":{"id":"doi:10.1109/cvpr.2008.4587684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-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/A5030916486","display_name":"Jason Meltzer","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Jason Meltzer","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5038328783","display_name":"Stefano Soatto","orcid":"https://orcid.org/0000-0003-2902-6362"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stefano Soatto","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5030916486"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.9045,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.9415448,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"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":0.9995999932289124,"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":0.9986000061035156,"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":0.7430285215377808},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7240926623344421},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.6169371604919434},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5967381596565247},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5767636299133301},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5700258612632751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5564819574356079},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.48717233538627625},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.4394022226333618},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4311879277229309},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3482922315597534},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.203574538230896}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7430285215377808},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7240926623344421},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.6169371604919434},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5967381596565247},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5767636299133301},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5700258612632751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5564819574356079},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.48717233538627625},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.4394022226333618},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4311879277229309},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3482922315597534},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.203574538230896},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/cvpr.2008.4587684","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2008.4587684","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2008 IEEE Conference on Computer Vision and Pattern Recognition","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.183.9013","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.183.9013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://vision.ucla.edu/papers/meltzerS08.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320338279","display_name":"Air Force Office of Scientific Research","ror":"https://ror.org/011e9bt93"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W1495971627","https://openalex.org/W1645353508","https://openalex.org/W1676552347","https://openalex.org/W1976788071","https://openalex.org/W1992047056","https://openalex.org/W2056313036","https://openalex.org/W2065164181","https://openalex.org/W2087064593","https://openalex.org/W2089373496","https://openalex.org/W2109200236","https://openalex.org/W2123211807","https://openalex.org/W2124404372","https://openalex.org/W2128017662","https://openalex.org/W2141376824","https://openalex.org/W2145023731","https://openalex.org/W2148227735","https://openalex.org/W2148468997","https://openalex.org/W2151103935","https://openalex.org/W2152671441","https://openalex.org/W2153461242","https://openalex.org/W2162915993","https://openalex.org/W2166049352","https://openalex.org/W6637324600","https://openalex.org/W6678655596","https://openalex.org/W6682133802"],"related_works":["https://openalex.org/W2383111961","https://openalex.org/W2365952365","https://openalex.org/W2352448290","https://openalex.org/W2380820513","https://openalex.org/W2913146933","https://openalex.org/W2372385138","https://openalex.org/W4296359239","https://openalex.org/W2101155126","https://openalex.org/W2043093291","https://openalex.org/W2363545964"],"abstract_inverted_index":{"This":[0],"paper":[1],"describes":[2],"a":[3],"method":[4],"for":[5,29,58],"finding":[6],"wide-baseline":[7,73],"correspondences":[8],"between":[9],"images":[10],"at":[11],"locations":[12],"along":[13],"gradient":[14],"edges.":[15],"We":[16,62],"find":[17],"edges":[18,31,39],"in":[19,69],"scale":[20,36],"space":[21],"using":[22],"established":[23],"methods":[24],"and":[25,35,48,81],"develop":[26],"invariant":[27],"descriptors":[28,51],"these":[30],"based":[32],"on":[33,43,55,85],"orientation":[34],"histograms.":[37],"Because":[38],"are":[40],"often":[41],"found":[42],"occluding":[44],"boundaries,":[45],"we":[46],"calculate":[47],"store":[49],"two":[50],"per":[52],"edge,":[53],"one":[54],"each":[56],"side,":[57],"robustness":[59],"to":[60],"occlusions.":[61],"demonstrate":[63],"the":[64,70,86],"effectiveness":[65],"of":[66,72],"edge":[67],"matching":[68],"applications":[71],"correspondence,":[74],"structure":[75],"from":[76,78],"motion":[77],"line":[79],"segments,":[80],"object":[82],"category":[83],"recognition":[84],"Caltech":[87],"101":[88],"dataset.":[89]},"counts_by_year":[{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}