{"id":"https://openalex.org/W1984672682","doi":"https://doi.org/10.1109/tip.2015.2423617","title":"Fast Representation Based on a Double Orientation Histogram for Local Image Descriptors","display_name":"Fast Representation Based on a Double Orientation Histogram for Local Image Descriptors","publication_year":2015,"publication_date":"2015-04-16","ids":{"openalex":"https://openalex.org/W1984672682","doi":"https://doi.org/10.1109/tip.2015.2423617","mag":"1984672682","pmid":"https://pubmed.ncbi.nlm.nih.gov/25897986"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2015.2423617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2423617","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/A5089840086","display_name":"Wenxiong Kang","orcid":"https://orcid.org/0000-0001-9023-7252"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenxiong Kang","raw_affiliation_strings":["Guangzhou Key Laboratory of Brain Computer Interaction and Applications, School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Key Laboratory of Brain Computer Interaction and Applications, School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100382612","display_name":"Xiaopeng Chen","orcid":"https://orcid.org/0000-0001-5412-8876"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]},{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaopeng Chen","raw_affiliation_strings":["Guangzhou Key Laboratory of Brain Computer Interaction and Applications, School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou Key Laboratory of Brain Computer Interaction and Applications, School of Automation Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]},{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2857,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.8624471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"24","issue":"10","first_page":"2915","last_page":"2927"},"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":0.9980000257492065,"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":0.9871000051498413,"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/histogram","display_name":"Histogram","score":0.7462278604507446},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7337720394134521},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6989167332649231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5399707555770874},{"id":"https://openalex.org/keywords/orientation","display_name":"Orientation (vector space)","score":0.46240025758743286},{"id":"https://openalex.org/keywords/affine-transformation","display_name":"Affine transformation","score":0.4597717523574829},{"id":"https://openalex.org/keywords/interpolation","display_name":"Interpolation (computer graphics)","score":0.4559027850627899},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45397472381591797},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.424255907535553},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.28185731172561646}],"concepts":[{"id":"https://openalex.org/C53533937","wikidata":"https://www.wikidata.org/wiki/Q185020","display_name":"Histogram","level":3,"score":0.7462278604507446},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7337720394134521},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6989167332649231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5399707555770874},{"id":"https://openalex.org/C16345878","wikidata":"https://www.wikidata.org/wiki/Q107472979","display_name":"Orientation (vector space)","level":2,"score":0.46240025758743286},{"id":"https://openalex.org/C92757383","wikidata":"https://www.wikidata.org/wiki/Q382497","display_name":"Affine transformation","level":2,"score":0.4597717523574829},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.4559027850627899},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45397472381591797},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.424255907535553},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.28185731172561646},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2015.2423617","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2015.2423617","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:25897986","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25897986","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":[{"score":0.699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G6341451054","display_name":"\u53d8\u5316\u59ff\u6001\u4e0b\u7684\u624b\u90e8\u9759\u8109\u8bc6\u522b\u5173\u952e\u95ee\u9898\u7814\u7a76","funder_award_id":"61105019","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1532362218","https://openalex.org/W1676552347","https://openalex.org/W1699734612","https://openalex.org/W1979931042","https://openalex.org/W2054511520","https://openalex.org/W2055685931","https://openalex.org/W2082357029","https://openalex.org/W2098083083","https://openalex.org/W2104853049","https://openalex.org/W2109200236","https://openalex.org/W2111308925","https://openalex.org/W2112020727","https://openalex.org/W2117228865","https://openalex.org/W2119605622","https://openalex.org/W2124386111","https://openalex.org/W2124404372","https://openalex.org/W2145072179","https://openalex.org/W2151103935","https://openalex.org/W2158548823","https://openalex.org/W2163096995","https://openalex.org/W2163446794","https://openalex.org/W2169561155","https://openalex.org/W2170282673","https://openalex.org/W2172188317","https://openalex.org/W2177274842","https://openalex.org/W4206610958","https://openalex.org/W6631707545","https://openalex.org/W6637324600","https://openalex.org/W6674700266","https://openalex.org/W6681554747","https://openalex.org/W6683840128"],"related_works":["https://openalex.org/W2107628111","https://openalex.org/W2394004323","https://openalex.org/W2398764543","https://openalex.org/W2027335291","https://openalex.org/W4210328553","https://openalex.org/W2038416447","https://openalex.org/W2364151838","https://openalex.org/W1980417906","https://openalex.org/W2007994675","https://openalex.org/W2071206959"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"extensive":[3],"research":[4],"on":[5,66,175],"local":[6,48,80],"invariant":[7],"features":[8],"has":[9],"been":[10,17],"conducted,":[11],"and":[12,33,123,195],"many":[13],"novel":[14,47,137],"descriptors":[15,24,217],"have":[16],"developed":[18,61,168,211],"for":[19,35,129],"different":[20],"scenarios.":[21],"Frequently,":[22],"these":[23],"can":[25],"offer":[26],"unique":[27],"advantages":[28],"(such":[29],"as":[30,141],"stability,":[31],"precision,":[32],"speed)":[34],"select":[36],"applications":[37],"but":[38],"perform":[39],"unsatisfactorily":[40],"from":[41],"a":[42,46,55,70,136,187,190,196],"comprehensive":[43,221],"perspective.":[44],"Consequently,":[45],"image":[49],"descriptor,":[50,111],"named":[51],"fast":[52],"representation":[53],"using":[54,74,97],"double":[56,100],"orientation":[57,101],"histogram":[58,128],"(FRDOH),":[59],"is":[60,72,95,115,145,170],"in":[62,78,126,218],"this":[63],"paper":[64],"based":[65],"existing":[67],"descriptors.":[68],"First,":[69],"region":[71],"divided":[73],"intensity":[75,81,150],"order":[76,82],"(as":[77],"the":[79,90,93,107,110,112,119,127,130,149,152,157,167,176,183,199,210,215],"pattern":[83],"descriptor)":[84],"to":[85,104,117,147,155],"encode":[86],"spatial":[87],"information.":[88],"Then,":[89],"discriminability":[91,108],"of":[92,109,121,133,151,166,182,189,198,220],"descriptor":[94,169,213],"enhanced":[96],"our":[98],"proposed":[99],"histogram.":[102],"Second,":[103],"further":[105],"improve":[106],"Hellinger":[113],"distance":[114],"used":[116,146],"balance":[118],"effects":[120],"large":[122],"small":[124],"bins":[125],"similarity":[131],"measure":[132],"features.":[134],"Finally,":[135],"interpolation":[138,144],"strategy":[139],"known":[140],"rapidly":[142],"cascaded":[143],"calculate":[148],"neighboring":[153],"points":[154],"reduce":[156],"computation":[158],"time,":[159],"while":[160],"achieving":[161],"high":[162],"precision.":[163],"The":[164],"performance":[165],"evaluated":[171],"via":[172],"numerous":[173],"experiments":[174,207],"affine":[177],"covariant":[178],"feature":[179],"data":[180,185,193,204],"set":[181],"Oxford":[184],"set,":[186,194],"subset":[188,197],"3D":[191],"object":[192],"IIT":[200],"Delhi":[201],"Touchless":[202],"Palmprint":[203],"set.":[205],"These":[206],"demonstrate":[208],"that":[209],"FRDOH":[212],"outperforms":[214],"state-of-the-art":[216],"terms":[219],"performance.":[222]},"counts_by_year":[{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}