{"id":"https://openalex.org/W2908633847","doi":"https://doi.org/10.1109/tip.2019.2893743","title":"Robust Semantic Template Matching Using a Superpixel Region Binary Descriptor","display_name":"Robust Semantic Template Matching Using a Superpixel Region Binary Descriptor","publication_year":2019,"publication_date":"2019-01-17","ids":{"openalex":"https://openalex.org/W2908633847","doi":"https://doi.org/10.1109/tip.2019.2893743","mag":"2908633847","pmid":"https://pubmed.ncbi.nlm.nih.gov/30668474"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2893743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2893743","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/A5004324946","display_name":"Hua Yang","orcid":"https://orcid.org/0000-0002-5430-5630"},"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":"Hua Yang","raw_affiliation_strings":["State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0002-5430-5630","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087130250","display_name":"Chenghui Huang","orcid":"https://orcid.org/0009-0001-2578-6607"},"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":"Chenghui Huang","raw_affiliation_strings":["State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113600509","display_name":"Fei\u2013Yue Wang","orcid":"https://orcid.org/0000-0001-9185-3989"},"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":"Feiyue Wang","raw_affiliation_strings":["State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018410836","display_name":"Kaiyou Song","orcid":"https://orcid.org/0000-0001-8999-2680"},"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":"Kaiyou Song","raw_affiliation_strings":["State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":"https://orcid.org/0000-0001-8999-2680","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053892414","display_name":"Zhouping Yin","orcid":"https://orcid.org/0000-0001-5766-2337"},"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":"Zhouping Yin","raw_affiliation_strings":["State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Digital Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, China","institution_ids":["https://openalex.org/I47720641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0338,"has_fulltext":false,"cited_by_count":34,"citation_normalized_percentile":{"value":0.89583825,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"28","issue":"6","first_page":"3061","last_page":"3074"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T13114","display_name":"Image Processing Techniques and Applications","score":0.9986000061035156,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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":0.9983999729156494,"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":0.7771740555763245},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.7695788145065308},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6247195601463318},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5815358757972717},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5576465129852295},{"id":"https://openalex.org/keywords/template-matching","display_name":"Template matching","score":0.5344029664993286},{"id":"https://openalex.org/keywords/local-binary-patterns","display_name":"Local binary patterns","score":0.5036465525627136},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.48129788041114807},{"id":"https://openalex.org/keywords/phase-congruency","display_name":"Phase congruency","score":0.470363587141037},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.41298508644104004},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.37632986903190613},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2711075246334076},{"id":"https://openalex.org/keywords/histogram","display_name":"Histogram","score":0.21776917576789856}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7771740555763245},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.7695788145065308},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6247195601463318},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5815358757972717},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5576465129852295},{"id":"https://openalex.org/C158096908","wikidata":"https://www.wikidata.org/wiki/Q3983303","display_name":"Template matching","level":3,"score":0.5344029664993286},{"id":"https://openalex.org/C87335442","wikidata":"https://www.wikidata.org/wiki/Q2494345","display_name":"Local binary patterns","level":4,"score":0.5036465525627136},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.48129788041114807},{"id":"https://openalex.org/C2777316791","wikidata":"https://www.wikidata.org/wiki/Q17105246","display_name":"Phase congruency","level":3,"score":0.470363587141037},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.41298508644104004},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.37632986903190613},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2711075246334076},{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.21776917576789856},{"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2893743","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2893743","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:30668474","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30668474","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":[],"awards":[{"id":"https://openalex.org/G2840902503","display_name":null,"funder_award_id":"51475193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3585931114","display_name":null,"funder_award_id":"51875228","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7298260633","display_name":null,"funder_award_id":"51327801","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":44,"referenced_works":["https://openalex.org/W22745672","https://openalex.org/W291905074","https://openalex.org/W1000180593","https://openalex.org/W1491719799","https://openalex.org/W1508404128","https://openalex.org/W1518259685","https://openalex.org/W1975827901","https://openalex.org/W1995266040","https://openalex.org/W1999478155","https://openalex.org/W2007234579","https://openalex.org/W2045652019","https://openalex.org/W2049633694","https://openalex.org/W2054484909","https://openalex.org/W2055755574","https://openalex.org/W2067191022","https://openalex.org/W2070240696","https://openalex.org/W2104125540","https://openalex.org/W2110248298","https://openalex.org/W2115070927","https://openalex.org/W2118246710","https://openalex.org/W2119605622","https://openalex.org/W2121947440","https://openalex.org/W2124260943","https://openalex.org/W2128294289","https://openalex.org/W2136405884","https://openalex.org/W2138274137","https://openalex.org/W2141584146","https://openalex.org/W2145251738","https://openalex.org/W2151103935","https://openalex.org/W2162250601","https://openalex.org/W2163009106","https://openalex.org/W2163096995","https://openalex.org/W2172196609","https://openalex.org/W2177274842","https://openalex.org/W2293105860","https://openalex.org/W2294819727","https://openalex.org/W2322815342","https://openalex.org/W2324566014","https://openalex.org/W2410718017","https://openalex.org/W2545985378","https://openalex.org/W2592712968","https://openalex.org/W2964306141","https://openalex.org/W6681435098","https://openalex.org/W6683840128"],"related_works":["https://openalex.org/W1589677080","https://openalex.org/W2377837284","https://openalex.org/W2770255720","https://openalex.org/W2172130785","https://openalex.org/W4205890696","https://openalex.org/W1509533962","https://openalex.org/W1965432195","https://openalex.org/W2061602652","https://openalex.org/W1584718735","https://openalex.org/W2053219528"],"abstract_inverted_index":{"Almost":[0],"all":[1,45],"conventional":[2],"template-matching":[3,67,277],"methods":[4,33],"employ":[5],"low-level":[6],"image":[7,16,20,218],"features":[8,142,178],"to":[9,85,106,189,202,214,239],"measure":[10],"the":[11,54,59,72,108,112,118,129,140,150,159,163,167,175,185,204,210,235,242],"similarity":[12,22],"between":[13,122],"a":[14,18,64,78,87,97,194,224,229],"template":[15,113,207],"and":[17,28,126,139,200,265],"scene":[19,211],"using":[21],"measures":[23],"such":[24],"as":[25,149,158],"pixel":[26,29],"intensity":[27,120],"gradient.":[30],"Although":[31],"these":[32],"have":[34],"been":[35],"widely":[36],"used":[37],"in":[38,209],"many":[39],"applications,":[40],"they":[41],"cannot":[42],"simultaneously":[43,57,253],"address":[44],"types":[46],"of":[47,56,133,143,172,182,206,226,244],"robustness":[48,243],"challenges.":[49],"In":[50,162,184],"this":[51,245],"study,":[52],"with":[53,179,191,267],"goal":[55],"addressing":[58],"various":[60],"challenges,":[61],"we":[62,76],"present":[63],"robust":[65],"semantic":[66,89,141,169],"approach":[68],"(RSTM).":[69],"Inspired":[70],"by":[71],"local":[73],"binary":[74,82],"descriptor,":[75],"propose":[77],"novel":[79],"superpixel":[80,124,135,145],"region":[81,125],"descriptor":[83],"(SRBD)":[84],"construct":[86],"multilevel":[88,176],"fusion":[90,168],"feature":[91,170],"vector":[92,171],"for":[93],"RSTM.":[94],"SRBD":[95,177],"uses":[96],"new":[98],"kernel-distance-based":[99],"simple":[100],"linear":[101],"iterative":[102],"clustering":[103],"(KD-SLIC)":[104],"method":[105],"extract":[107],"stable":[109],"superpixels":[110],"from":[111,234],"image;":[114],"Then,":[115],"based":[116],"on":[117,228],"average":[119],"difference":[121,153],"each":[123,134,144],"its":[127],"neighbors,":[128],"dominant":[130,151],"gradient":[131],"orientation":[132,152],"can":[136,146],"be":[137,147],"obtained,":[138],"described":[148],"vector,":[154],"which":[155],"is":[156,198,220],"coded":[157],"rotation-invariant":[160],"SRBD.":[161],"off-line":[164],"matching":[165,187],"phase,":[166,188],"RSTM":[173,252],"combines":[174],"different":[180],"numbers":[181],"superpixels.":[183],"online":[186],"cope":[190],"rotation":[192,255],"invariance,":[193],"marginal":[195],"probability":[196],"model":[197],"proposed":[199],"applied":[201],"locate":[203],"positions":[205],"images":[208],"image.":[212],"Moreover,":[213],"accelerate":[215],"computation,":[216],"an":[217],"pyramid":[219],"employed.":[221],"We":[222],"conduct":[223],"series":[225],"experiments":[227],"large":[230],"dataset":[231,238],"randomly":[232],"selected":[233],"MS":[236],"COCO":[237],"fully":[240],"analyze":[241],"approach.":[246],"The":[247],"experimental":[248],"results":[249],"show":[250],"that":[251],"addresses":[254],"changes,":[256,258],"scale":[257],"noise,":[259],"occlusions,":[260],"blur,":[261],"nonlinear":[262],"illumination":[263],"changes":[264],"deformation":[266],"high":[268],"time":[269],"efficiency":[270],"while":[271],"also":[272],"outperforming":[273],"previous":[274],"stateof-":[275],"the-art":[276],"methods.":[278]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}