{"id":"https://openalex.org/W2135284270","doi":"https://doi.org/10.1109/cvprw.2011.5981776","title":"Biologically inspired template matching using scene context","display_name":"Biologically inspired template matching using scene context","publication_year":2011,"publication_date":"2011-06-01","ids":{"openalex":"https://openalex.org/W2135284270","doi":"https://doi.org/10.1109/cvprw.2011.5981776","mag":"2135284270"},"language":"en","primary_location":{"id":"doi:10.1109/cvprw.2011.5981776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","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/A5035295689","display_name":"Changxin Gao","orcid":"https://orcid.org/0000-0003-2736-3920"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Changxin Gao","raw_affiliation_strings":["Institute of Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, China","Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China"],"affiliations":[{"raw_affiliation_string":"Institute of Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5013734579","display_name":"Nong Sang","orcid":"https://orcid.org/0000-0002-9167-1496"},"institutions":[{"id":"https://openalex.org/I47720641","display_name":"Huazhong University of Science and Technology","ror":"https://ror.org/00p991c53","country_code":"CN","type":"education","lineage":["https://openalex.org/I47720641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nong Sang","raw_affiliation_strings":["Institute of Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, China","Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China"],"affiliations":[{"raw_affiliation_string":"Institute of Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]},{"raw_affiliation_string":"Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan, 430074, P.R. China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5035295689"],"corresponding_institution_ids":["https://openalex.org/I47720641"],"apc_list":null,"apc_paid":null,"fwci":0.2576,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.60473151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"16","issue":null,"first_page":"48","last_page":"55"},"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":0.9997000098228455,"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/T10531","display_name":"Advanced Vision and Imaging","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/computer-science","display_name":"Computer science","score":0.8088663816452026},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7675713300704956},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.726263701915741},{"id":"https://openalex.org/keywords/clutter","display_name":"Clutter","score":0.6324213743209839},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.619735598564148},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6171339154243469},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5413835048675537},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.4584495723247528},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.42752954363822937},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1985827386379242},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12227106094360352}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8088663816452026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7675713300704956},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.726263701915741},{"id":"https://openalex.org/C132094186","wikidata":"https://www.wikidata.org/wiki/Q641585","display_name":"Clutter","level":3,"score":0.6324213743209839},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.619735598564148},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6171339154243469},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5413835048675537},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.4584495723247528},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.42752954363822937},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1985827386379242},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12227106094360352},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C554190296","wikidata":"https://www.wikidata.org/wiki/Q47528","display_name":"Radar","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvprw.2011.5981776","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvprw.2011.5981776","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"CVPR 2011 WORKSHOPS","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5299999713897705,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W206620322","https://openalex.org/W1566135517","https://openalex.org/W2012330712","https://openalex.org/W2018055348","https://openalex.org/W2036167211","https://openalex.org/W2043936796","https://openalex.org/W2087540179","https://openalex.org/W2088112754","https://openalex.org/W2098355199","https://openalex.org/W2101131351","https://openalex.org/W2104713750","https://openalex.org/W2110764733","https://openalex.org/W2119474986","https://openalex.org/W2138874178","https://openalex.org/W2140448023","https://openalex.org/W2142796031","https://openalex.org/W2142946215","https://openalex.org/W2153784333","https://openalex.org/W2159564241","https://openalex.org/W2400365273","https://openalex.org/W2485261912","https://openalex.org/W4234969819","https://openalex.org/W4239091791","https://openalex.org/W6608257647","https://openalex.org/W6674646328","https://openalex.org/W6680625850","https://openalex.org/W6858744555"],"related_works":["https://openalex.org/W2130674020","https://openalex.org/W2093748878","https://openalex.org/W2333771223","https://openalex.org/W2120056845","https://openalex.org/W1981531423","https://openalex.org/W2035264131","https://openalex.org/W1679012645","https://openalex.org/W1925461966","https://openalex.org/W2802511870","https://openalex.org/W2372581239"],"abstract_inverted_index":{"Template":[0],"matching":[1,17,48,73],"is":[2,19,51,67],"widely":[3],"used":[4],"in":[5,93],"pattern":[6],"recognition":[7],"and":[8,60,84,116],"computer":[9],"vision.":[10],"However,":[11],"the":[12,38,79,121,125],"performance":[13],"of":[14,29,81,124],"traditional":[15],"template":[16,47,72,83],"approaches":[18],"often":[20],"sensitive":[21],"to":[22],"large":[23],"intraclass":[24],"variance,":[25],"occlusion,":[26],"minor":[27],"variety":[28],"poses,":[30],"low-resolution":[31],"conditions,":[32],"background":[33],"clutter":[34],"etc.":[35],"To":[36],"resolve":[37],"problem,":[39],"this":[40,76],"paper":[41],"presents":[42],"a":[43,82,85,94,117],"scene":[44,91],"context":[45],"based":[46],"method,":[49],"which":[50],"inspired":[52],"from":[53],"two":[54],"biological":[55],"plausible":[56],"ways,":[57],"scene-centered":[58],"viewpoint":[59],"change":[61],"blindness":[62],"phenomenon.":[63],"The":[64],"proposed":[65,126],"method":[66],"quite":[68],"different":[69],"form":[70],"conventional":[71],"methods,":[74],"since":[75],"technique":[77],"measures":[78],"similarity":[80],"sub-image":[86],"by":[87],"putting":[88],"both":[89],"into":[90],"context,":[92],"semantic":[95],"representation.":[96],"This":[97],"work":[98],"focuses":[99],"on":[100,113],"object":[101,107],"detection":[102],"task":[103],"using":[104],"only":[105],"one":[106],"instance":[108],"without":[109],"training.":[110],"Extensive":[111],"experiments":[112],"three":[114],"datasets":[115],"video":[118],"clearly":[119],"show":[120],"superior":[122],"robustness":[123],"method.":[127]},"counts_by_year":[{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
